united states – ICT Nieuws http://ictnieuws.net/ Mon, 14 Mar 2022 18:27:51 +0000 en-US hourly 1 https://wordpress.org/?v=5.9.3 https://ictnieuws.net/wp-content/uploads/2021/10/icon-37-120x120.png united states – ICT Nieuws http://ictnieuws.net/ 32 32 Artificial Intelligence in Cybersecurity Market Size and Forecast https://ictnieuws.net/artificial-intelligence-in-cybersecurity-market-size-and-forecast/ Mon, 14 Mar 2022 18:27:51 +0000 https://ictnieuws.net/artificial-intelligence-in-cybersecurity-market-size-and-forecast/ New Jersey, United States,- This Artificial Intelligence in Cyber ​​Security Market The analysis of the report provides fundamental elements designed to help industry players to make informed business decisions and assert their position in the market. This market research is conducted by combining qualitative and quantitative data, which greatly helps large companies to assess the […]]]>

New Jersey, United States,- This Artificial Intelligence in Cyber ​​Security Market The analysis of the report provides fundamental elements designed to help industry players to make informed business decisions and assert their position in the market. This market research is conducted by combining qualitative and quantitative data, which greatly helps large companies to assess the quality of the system or solution they plan to launch. It also shows important business parameters such as population density, quality, development and general industry situation. It also contains essential facts on key industry topics such as market expansion and changing market conditions. This Artificial Intelligence in Cybersecurity Market study examines major market segments based on type, application, and geography.

The Artificial Intelligence in Cyber ​​Security Market research report tracks the potential growth of the organization for forthcoming years by providing insightful data. It covers a few important factors such as demographics, promotional activities, and business metrics. It further sheds light on the economic disasters caused by COVID-19 and the huge losses suffered by different business sectors around the world. He then talks about the market forecast for the valuation years 2022-2029. The use of a value chain aids in understanding the Artificial Intelligence in Cyber ​​Security market report.

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This Artificial Intelligence in Cybersecurity market study is a valuable way to chart the right direction for business growth. It sheds light on the key dynamics influencing business growth. It also successfully predicts the level of competition for the forecast period 2022-2029. Some of the major segments mentioned in this survey report include manufacturing technology, industrial applications, and definition. Important statistics about the state of the market are discussed here. Important parameters covered in this Artificial Intelligence in Cyber ​​Security market report are of great help for market players to take important decisions. A thorough examination of the production, profiles, capacity, value, product specifications, and market share of the various companies provided here immensely helps the business players to make the perfect investment in the market.

Key Players Mentioned in the Artificial Intelligence in Cybersecurity Market Research Report:

Micron Technology Intel Corporation, Xilinx Inc., IBM Corporation, Amazon Web Services Samsung Electronics Co. Ltd., NVIDIA Corporation, Darktrace, Cylance Inc., Vectra AI, Inc.

Artificial Intelligence in Cybersecurity Market Segmentation:

Artificial Intelligence in Cybersecurity Market, By Security Type

• Application Security
• Cloud security
• Endpoint Security
• Internet Security

Artificial Intelligence in Cybersecurity Market, By Technology

• Context sensitive calculation
Machine learning
• Natural language processing

Artificial Intelligence in Cybersecurity Market, By Application

• Antivirus/antimalware
• Data loss prevention
• Fraud/anti-fraud detection
• Intrusion detection/prevention system
• Security and vulnerability management
• Unified threat management
• Others

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Scope of the Artificial Intelligence in Cybersecurity Market Report

ATTRIBUTES DETAILS
ESTIMATED YEAR 2022
YEAR OF REFERENCE 2021
FORECAST YEAR 2029
HISTORICAL YEAR 2020
UNITY Value (million USD/billion)
SECTORS COVERED Types, applications, end users, and more.
REPORT COVER Revenue Forecast, Business Ranking, Competitive Landscape, Growth Factors and Trends
BY REGION North America, Europe, Asia-Pacific, Latin America, Middle East and Africa
CUSTOMIZATION SCOPE Free report customization (equivalent to up to 4 analyst business days) with purchase. Added or changed country, region and segment scope.

It becomes easy to determine the pulse of the market with this detailed analysis of the Artificial Intelligence in Cybersecurity market. Key players can find all competitive data and market size of major regions like North America, Europe, Latin America, Asia-Pacific and Middle East. As part of the competitive analysis, certain strategies are profiled which are pursued by key players such as mergers, collaborations, acquisitions and new product launches. These strategies will greatly help industry players to strengthen their position in the market and grow their business.

Answers to key questions in the report:

1. Who are the top five players in the Artificial Intelligence in Cybersecurity market?

2. How will the market for artificial intelligence in cybersecurity evolve over the next five years?

3. Which products and applications will capture the lion’s share of the artificial intelligence in cybersecurity market?

4. What are the drivers and restraints of the Artificial Intelligence in Cybersecurity Market?

5. Which regional market will show the strongest growth?

6. What will be the CAGR and size of the Artificial Intelligence in Cybersecurity market throughout the forecast period?

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Pharma to lead blockchain adoption in supply chain https://ictnieuws.net/pharma-to-lead-blockchain-adoption-in-supply-chain/ Mon, 14 Mar 2022 10:38:04 +0000 https://ictnieuws.net/pharma-to-lead-blockchain-adoption-in-supply-chain/ Read the article The pandemic has accelerated digital transformation in the healthcare sector, from telemedicine to e-pharmacy, from electronic health records (EHRs) to digital therapies, from applications to artificial intelligence (AI) in analytics and more. tests. The pharmaceutical and healthcare industry will continue to lead the integration of new era technologies such as the Internet […]]]>

Read the article

The pandemic has accelerated digital transformation in the healthcare sector, from telemedicine to e-pharmacy, from electronic health records (EHRs) to digital therapies, from applications to artificial intelligence (AI) in analytics and more. tests. The pharmaceutical and healthcare industry will continue to lead the integration of new era technologies such as the Internet of Things (IoT), AI, machine learning and blockchain in the coming years as well. a much higher rate.

However, what can be the impending revolution that will accelerate the adoption of blockchain technology in the pharmaceutical supply chain that will soon change for the better? According to a study by Brandessence Market Research, the value of blockchain technology in the healthcare market will reach nearly $513.1 million by 2028, growing at a CAGR of 50.6% from 2021.

So far, India has made some timid attempts to implement a foolproof track and trace system in the pharmaceutical value chain, despite increasing cases of falsified or substandard drugs that tarnish its image as a world pharmacy. According to the World Health Organization (WHO), one in 10 medical products, whether drugs, kits or vaccines, are substandard in middle and low-income countries. Even in the United States, more than $200 billion is lost each year to counterfeiting, according to Deloitte. The World Economic Forum reports a 20% annual growth in the counterfeit trade. The Transnational Alliance to Combat Illicit Trade (TRACIT) reported that $2.6 billion was lost in Southeast Asia in 2020 alone due to fake medicines. Official Union Health Ministry statistics indicate that 3% of medicines in India are substandard or fake. WHO even reported a fake Covishield vaccine in Kolkata as recently as August 2021. Everyone knows that untraceable cases could be way more than detected cases.

On the other hand, we still lack a strict technology-driven monitoring system or law enforcement to weed out fake drugs from the supply chain. The General Directorate of Foreign Trade (DGFT) has again extended the deadline for the tracking and tracing system for pharmaceutical exports until April 1, 2022.

However, there is a silver lining. Many leading companies voluntarily take the initiative to adopt the latest technologies to track their pharmaceutical products. During the pandemic, several companies have also been seen to opt for self-imposed tracking systems to win export orders, in the face of growing awareness and demand for quality medicines. This provides ideal ground for blockchain technology to have a big impact on the pharmaceutical supply chain.

Niti Aayog, who piloted a blockchain-powered track and trace system, found that drugs from manufacturing facilities are generally trustworthy. The risk of fake medicines occurs more during the different stages and layers of a complex supply chain. At any point of transfer from factory to patient, drugs can be stolen, adulterated and replaced. By some estimates, pharmaceutical cargo theft itself is worth $1 billion a year. Blockchain makes a valid point against these vulnerabilities.

Being immutable, transparent, trustworthy, traceable, decentralized and hack-proof, blockchain can nearly eliminate counterfeit threats in the value chain, besides making the movement of goods transparent, cheaper, easier and faster. It can offer reliable end-to-end tracking. The supply chain can be well integrated block by block through the use of this technology, thus making any unauthorized external interference nearly impossible.

The first benefit would be the high-efficiency aspect, as blockchain stores data in a single distributed ledger, unlike traditional labor-intensive record-keeping processes. There is no need to consolidate or reconcile different sets of records and products. Location, lot number, and expiration dates can be easily tracked using blockchain-powered barcodes or QR codes, improving overall inventory management efficiency. Even this technology can be used to monitor temperature and other valuable information during medication transit.

Second, the immutability of the blockchain means that no one can modify the data without the consensus of all participants. A retailer cannot insert counterfeit drugs because the tracking of goods and data is done in real time. Third, the stored records are more secure than the traditional process where data is stored on a single server. In the blockchain, it is entered in several places in a decentralized way on the network of nodes with the corresponding timestamps in a chronological way. Records are tamper-proof. Another advantage of the blockchain is its transparency because the data is visible to all participants. Again, traceability is the biggest feature as the data is verifiable and this will bring a sea change to the pharmaceutical supply chain.

Global leaders in the pharmaceutical industry are already working on blockchain solutions for their needs. Pfizer, Amgen and Sanofi are working together to adopt blockchains to speed up clinical testing of new drugs. Novartis and Merck have adopted it to control counterfeiting and improve supply chain security. Some leading manufacturers and wholesalers have created a consortium called MediLedger Network to further explore the use of blockchain as the US government implements strict track and trace standards called DSCSA. The UK’s National Health Service (NHS) has started using this distributed ledger technology to monitor the distribution of COVID vaccines.

Blockchain technology is all about bringing more trust to transactions. More importantly, it can cover the entire value chain from API manufacturer, to patient, to formulation manufacturers, wholesalers, retailers, hospitals, pharmacies, etc., greatly mitigating the risk of damaging people’s trust and lives.

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Top 10 Penny Data Science stocks to buy for better returns https://ictnieuws.net/top-10-penny-data-science-stocks-to-buy-for-better-returns/ Mon, 14 Mar 2022 09:10:07 +0000 https://ictnieuws.net/top-10-penny-data-science-stocks-to-buy-for-better-returns/ by Disha Sinha March 14, 2022 Penny data science stocks generate higher profits in digital wallets in 2022 Technology investors are very overwhelmed with the advancement of products and services through the implementation of advanced technologies. They want to invest in tech stocks related to reputable and emerging tech companies to earn profits with the […]]]>

by Disha Sinha
March 14, 2022

Penny data science stocks generate higher profits in digital wallets in 2022

Technology investors are very overwhelmed with the advancement of products and services through the implementation of advanced technologies. They want to invest in tech stocks related to reputable and emerging tech companies to earn profits with the greatest stability and flexibility. As we know, data science is gaining popularity in industries all over the world for its efficient data management. Data science companies are thriving in the technology market to cultivate real-time data and turn it into meaningful and insightful insights. Thus, this leads to the huge demand for data science stocks offered by data science companies. There are thousands of data science stocks out there, but let’s explore some of the top ten penny data science stocks in 2022 for a smart investment.

Top ten penny data science stocks in 2022

Workiva, Inc.

Current price: $95.19

Market cap: US$4.95 billion

Workiva, Inc. is one of the top penny data science stocks for providing cloud-based compliance and regulatory reporting solutions for industries around the world. The Data Science Enterprise

is known for offering the Workiva platform to deliver controlled collaboration, data integrations, data linking, process management, and many more from enterprise resource planning, human capital management, etc

New Relic, Inc.

Current price: $58.48

Market cap: US$3.87 billion

New Relic, Inc. is a SaaS and penny data science company offering a wide range of products for efficient data management and different types of data. It includes an extensible cloud platform such as New Relic One Platform, New Relic Application Performance Monitoring, New Relic Applied Intelligence, and many more. This data science stock focuses on providing open data application performance interfaces, open source connectors, big data databases, and more. for customers all over the world.

Snowflake Inc.

Current price: $180.42

Market cap: US$55.26 billion

Snowflake Inc. offers a cloud-based data platform known as Data Cloud to enable users to consolidate data in real time to generate meaningful insights. It helps in building data-driven applications while sharing appropriate data. The data science company stock provides its data science services to several industries such as manufacturing, retail and many more.

Elastic NV

Current price: $72.02

Market cap: US$6.73 billion

Elastic NV is focused on providing state-of-the-art technology to search large amounts of real-time data, such as structured and unstructured data for multiple applications. It offers a wide range of data science products and services such as Elastic Stack, Kibana, Beats, Elastic Agent, Elasticsearch and many more. It offers a data processing pipeline to efficiently ingest data in specific domains.

Datadog, Inc.

Current price: $127.02

Market cap: US$39.87 billion

Datadog, Inc. is known for providing a cloud-based monitoring and analytics platform across the globe. Penny Data Science Stock offers a SaaS platform to integrate and automate infrastructure monitoring, application performance monitoring and more to provide real-time observability. Businesses can take advantage of user experience monitoring, network performance monitoring, cloud security, and more.

Palantir Technologies

Current price: $11.39

Market cap: US$23.12 billion

Palantir Technologies can deploy software platforms to assist in counterterrorism investigations and operations. The data science company offers palantir gotham to enable users to identify patterns in real-time datasets. The data science stock offers a wide range of products such as Palantir Foundry and many more to effectively integrate data collection and analysis.

Teradata Company

Current price: $44.25

Market cap: US$4.69 billion

Teradata Corporation provides a connected, multi-cloud data platform for enterprise analytics. The data science stock is known for offering Teradata Vantage which enables other businesses to leverage real-time and connect multiple sources to embrace digital transformation through integrated migration.

Domo, Inc.

Current price: $42.76

Market cap: US$1.39 billion

Domo, Inc. is popular for operating as a cloud-based platform in the United States. The platform is known for digitally connecting from CEO to employee with people, data and systems. There is access to real-time data and meaningful insights for effective data management.

Thinkworks Holding, Inc.

Current price: $18.13

Market cap: US$5.53 billion

Thoughtworks Holding, Inc. is a well-known data science stock that offers technology services and data and artificial intelligence services to the global technology market. Services include data strategy, data platforms, data meshing, data governance, digital transformation and many more. The data science stock focuses on sectors such as energy, healthcare, retail, financial services, travel and transportation, and the automotive industry.

WNS (Holdings) Ltd.

Current price: $82.59

Market cap: US$4.03 billion

WNS (Holdings) Ltd. is known as a popular data science company for offering data, voice and analytics services across the globe. This data science company stock operates through two segments as WNS Global BPM as well as WNS Auto Claims BPM. It offers processing services to industries such as retail, manufacturing, healthcare, etc.

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Blockchain in Genomic Data Management Market 2022 Analysis of Key Industry Trends and Segments to 2028 – The Bollywood Ticket https://ictnieuws.net/blockchain-in-genomic-data-management-market-2022-analysis-of-key-industry-trends-and-segments-to-2028-the-bollywood-ticket/ Sat, 12 Mar 2022 15:52:24 +0000 https://ictnieuws.net/blockchain-in-genomic-data-management-market-2022-analysis-of-key-industry-trends-and-segments-to-2028-the-bollywood-ticket/ Blockchain in Genomic Data Management Market (2022 Trend Analysis) The Global Blockchain in Genomic Data Management Market report provides insights into the global industry including valuable facts and figures. This research study explores the global market in detail like industry chain structures, raw material suppliers, along with manufacturing. The Blockchain in Genomic Data Management Sales […]]]>

Blockchain in Genomic Data Management Market (2022 Trend Analysis)

The Global Blockchain in Genomic Data Management Market report provides insights into the global industry including valuable facts and figures. This research study explores the global market in detail like industry chain structures, raw material suppliers, along with manufacturing. The Blockchain in Genomic Data Management Sales market examines the major segments of the market scale. This smart study provides historical data and forecast from 2022 to 2028.

The results of recent scientific endeavors for the development of new Blockchain products in the management of genomic data have been studied. Nonetheless, factors affecting major industry players to adopt synthetic sourcing of market products have also been studied in this statistical survey report. The findings provided in this report are of great value to major industry players. Every organization involved in the worldwide production of the Blockchain in Genomic Data Management market product has been mentioned in this report, to study the information on cost-effective manufacturing methods, competitive landscape, and new application avenues.

This report contains an in-depth analysis of pre-pandemic and post-pandemic market scenarios. This report covers all recent developments and changes recorded during the COVID-19 outbreak.

Get a sample report: https://www.marketresearchupdate.com/sample/37524

Major Key Players in the Market:
EncryptGen, SimplyVital Health, Genomes.io, Block23, DNAtix

The types covered in this report are:
B2C business model, B2B business model, C2B business model

The applications covered in this report are:
Pharmaceutical companies, research institutes, data owners, government agencies, insurers, others

With current market norms being revealed, the Blockchain in Genomic Data Management market research report has also illustrated the latest strategic developments and patterns of market participants in an unbiased manner. The report serves as a presumptive business document that can help the buyers in the global market to plan their next courses towards the future position of the market.

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Regional Analysis for Blockchain in Genomic Data Management Market

North America (United States, Canada and Mexico)
Europe (Germany, France, United Kingdom, Russia and Italy)
Asia Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia, etc.)
The Middle East and Africa (Saudi Arabia, United Arab Emirates, Egypt, Nigeria and South Africa)

Why B2B companies around the world rely on us to grow and maintain revenue:

  • Get a clear understanding of the Blockchain in Genomic Data Management market, how it works, and the different stages of the value chain.
  • To understand the current market situation and future growth potential of the Blockchain in Genomic Data Management Market throughout the forecast period.
  • Develop marketing strategies, market entry, market expansion and other business plans by understanding the factors that influence market growth and buyer buying decisions.
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  • Make more informed business decisions using relevant primary and secondary research sources.

This report provides:

  1. A detailed overview of the global Blockchain in Genomic Data Management Market.
  2. Assessment of global industry trends, historical data from 2011, projections for the coming years and anticipation of compound annual growth rates (CAGR) by the end of the forecast period.
  3. Discovery of new markets outlook and Targeted Marketing Methodologies for Global Blockchain in Genomic Data Management
  4. Discussion on R&D and demand for new product launches and applications.
  5. Varied company profiles of major industry players.
  6. the composition of the market, in terms of dynamic molecule types and targets, highlighting the key resources and industry players.
  7. The growth of patient epidemiology and market revenue for the global market and among key players and market segments.
  8. Study the market in terms of generic and premium product income.
  9. Determine business opportunities in market sales scenario by analyzing trends in licensing and co-development agreements.

Get a full report @ https://www.marketresearchupdate.com/industry-growth/Blockchain-in-Genomic-Data-Management-Market-37524

Ultimately, the Blockchain in Genomic Data Management Market report includes analysis of investments and development trends. Present and future opportunities of fastest growing international industry segments are discussed throughout this report. This report additionally presents the product specification, manufacturing method, product cost structure, and price structure.

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Global Artificial Intelligence Robots Market analyzed by company growth, industry analysis, market dynamics and development trends https://ictnieuws.net/global-artificial-intelligence-robots-market-analyzed-by-company-growth-industry-analysis-market-dynamics-and-development-trends/ Fri, 11 Mar 2022 14:18:21 +0000 https://ictnieuws.net/global-artificial-intelligence-robots-market-analyzed-by-company-growth-industry-analysis-market-dynamics-and-development-trends/ Thorough and transparent research studies conducted by the teamwork of experts in their own field achieve this global market research report. Not to mention that this data and information helps companies to decide more effectively on advertising, promotion, marketing and sales strategy and also helps in making wise and competent decisions. This report discusses several […]]]>

Thorough and transparent research studies conducted by the teamwork of experts in their own field achieve this global market research report. Not to mention that this data and information helps companies to decide more effectively on advertising, promotion, marketing and sales strategy and also helps in making wise and competent decisions. This report discusses several industries and market parameters regarding this industry including latest trends, market segmentation, new market entries, industry forecast, target market analysis, future directions, l identification of opportunities, strategic analysis, information and innovation. This report gives important, thoughtful and significant market insights for your business by considering various factors.

Moreover, this marketing research report aids in planning by providing accurate and state-of-the-art information about consumer demands, buying preferences, changing attitudes and tastes regarding the specific product. This team focuses on understanding the business of the clients and their needs so that the best market research report is provided to the client for potential growth and success. This report focuses on a specific stock, currency, commodity, and geographic region or country. This market research report serves the clients by providing data and insights on their business scenario with which they can stay ahead of the competition in today’s rapidly changing business environment.

artificial intelligence platform market is expected to grow at a CAGR of 32.48% during the forecast period from 2020 to 2027. Data Bridge Market Research report on Artificial Intelligence Platform Market provides analysis and insights regarding the various factors that are expected to prevail throughout the forecast period while providing their impacts on market growth.

Sample report available in PDF version with graphs and figures @ https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-artificial-intelligence-platform-market

Our research and insights help our clients identify compatible business partners.

The Artificial Intelligence Platform report gives the CAGR values ​​along with its fluctuations for the specific forecast period. A transparent research method carried out with the right tools and techniques makes this market research report world-class. This research study also helps businesses to understand the various drivers and restraints impacting the market during the forecast period. This Artificial Intelligence Platform Market report helps you by giving you actionable market insights and comprehensive market analysis. The key research methodology used here by the DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary validation (expert from the industry).

Prominent players:

Key players covered in the fintech blockchain market report are Microsoft, Google LLC, Salesforce.com, inc., IBM CORPORATION, AMAZON WEB SERVICES, INC., Intel corporation, Ayasdi AI LLC, Hewlett Packard Enterprise Development LP, Qualcomm technologies, inc., Absolutdata, General vision, inc., Enlitic, inc., NEXT IT CORPORATION, icarbonX, Apple, inc., Facebook, inc., Siemens AG, General Electric, Micro Technology, inc., SAMSUNG among other national and global players. Market share data is available separately for Global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America . DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.

MAIN CONTENT INDEX:

introduction

  • Search scope
  • Market segmentation
  • Research methodology
  • Definitions and assumptions

Synthesis

Market dynamics

  • market engine
  • Market restrictions
  • Market opportunity

key ideas

  • Main emerging trends in this sector
  • The latest technological advances
  • Overview of the regulatory scenario
  • Porter’s Five Forces Analysis
  • Main developments: acquisition, collaboration, strategic partnership and joint venture

Advantages of buying this research report:-

Customer satisfaction: Data Bridge Market Research team will fulfill all research requirements and offer custom or syndicated report

Inimitable know-how: Analysts will offer in-depth insights into this global market

Support for analysts: Get instant expert solved query before and after buying this market report

Quality assured: Market Research Outlet maintains the accuracy and quality of this market

Read the detailed index of the full research study @ https://www.databridgemarketresearch.com/reports/global-artificial-intelligence-platform-market

Who will benefit from this report?

The primary goal of Global Artificial Intelligence Platform Market is to provide industry investors, private equity firms, business managers and stakeholders with comprehensive information to help them make informed strategic decisions associated with the Concealed Door Closers market chances through the world.

Key Market Segmentation:

The artificial intelligence platform market is segmented on the basis of component, mode of deployment, application, and end user. Growth between segments helps you analyze growth niches and strategies to approach the market and determine your main application areas and the difference between your target markets.

Based on components, the artificial intelligence platform market can be segmented into tools and services. The tools can be subdivided into NLP (Natural Language Processing) and ML (Machine Language). Services can be subdivided into managed and professional services.

Based on deployment mode, the artificial intelligence platform market can be segmented into cloud and on-premises.

Based on the application, the artificial intelligence platform market can be segmented into forecasting and prescriptive models, chat-bots, voice recognition, text recognition and others (face detection and sentiment analysis).

Based on end-user, the artificial intelligence platform market can be segmented into manufacturing, healthcare, BFSI, research and academia, transportation, retail and e-commerce, and others (oil and gas and advertising).

Main regions covered:

Geographically, this report is segmented into several key regions, with sales (MT), revenue (USD Million), market share and growth rate for these regions, covering

**North America (United States, Canada and Mexico)

**Europe (Germany, France, UK, Russia, Italy and rest of Europe)

**Asia Pacific (China, Japan, Korea, India, Southeast Asia and Australia)

**South America (Brazil, Argentina, Colombia and rest of South America)

**Middle East and Africa (Saudi Arabia, United Arab Emirates, Egypt, South Africa and Rest of Middle East and Africa)

Key points of the geographic analysis:

**Data and information relating to the rate of consumption in each region

**The estimated increase in consumption rate

**The expected growth rate of regional markets

**Proposed growth in market share of each region

**Geographic contribution to market revenue

Reasons to buy this report:

**The industry analysis report offers actionable insights into the global Artificial Intelligence Platform industry and examines the key growth drivers, limitations, opportunities, and challenges existing in the market.

**The research has thoroughly examined current and past market circumstances to help readers forecast market conditions for the next five years.

**The research presents a comprehensive overview of leading companies in the Harmonic Gear Drive industry along with their long-term business growth strategies

**In-depth examination of the Artificial Intelligence Platform business landscape with accurate market projections for the forecast period

To consult the complete table of contents, click here: @ https://www.databridgemarketresearch.com/toc/?dbmr=global-artificial-intelligence-platform-market

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About Data Bridge Market Research, Private Ltd

Data Bridge Market Research Pvt Ltd is a multinational management consultant company with offices in India and Canada. As an innovative and neoteric market analysis and consulting company with an unparalleled level of sustainability and advanced approaches. We are committed to uncovering the best consumer insights and fostering useful insights for your business to succeed in the marketplace.

Data Bridge Market Research is the result of pure wisdom and practice that was conceived and incorporated in Pune in 2015. The company came into existence from the health department with far fewer employees having the intent to cover the entire market while providing best in class analysis. . Later, the company expanded its departments, as well as its reach by opening a new office in Gurugram in 2018, where a team of highly qualified personnel join hands for the growth of the company. “Even in the difficult times of COVID-19 where the virus has slowed down everything globally, the dedicated team at Data Bridge Market Research has been working around the clock to provide quality and support to our client base, which is also a testament to the excellence of our sleeve.”

Data Bridge Market Research has over 500 analysts working across different industries. We have served over 40% of Fortune 500 companies globally and have a network of over 5,000 clients worldwide. Our coverage of industries includes

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Global Data Cyberscience Market by Key Player – , Broadcom (Symantec Corporation), Cisco Systems, Check Point Software, IBM, McAfee, Palo Alto Networks, Trend Micro Incorporated, … https://ictnieuws.net/global-data-cyberscience-market-by-key-player-broadcom-symantec-corporation-cisco-systems-check-point-software-ibm-mcafee-palo-alto-networks-trend-micro-incorporated/ Fri, 11 Mar 2022 14:10:42 +0000 https://ictnieuws.net/global-data-cyberscience-market-by-key-player-broadcom-symantec-corporation-cisco-systems-check-point-software-ibm-mcafee-palo-alto-networks-trend-micro-incorporated/ Global Global cyber data science market research is an intelligence report with meticulous efforts undertaken to study the correct and valuable information. The data that has been reviewed takes into account both existing top players and upcoming competitors. The business strategies of key players and new industries entering the market are studied in detail. A […]]]>

Global Global cyber data science market research is an intelligence report with meticulous efforts undertaken to study the correct and valuable information. The data that has been reviewed takes into account both existing top players and upcoming competitors. The business strategies of key players and new industries entering the market are studied in detail. A well-explained SWOT analysis, revenue share and contact information are shared in this report analysis. It also provides market information in terms of development and its capabilities.

Global Cyber ​​Data Science Market” Global Research Report 2022-2028 is a factual overview and in-depth study on the current and future market of the Mobility Healthcare Solutions industry. The Global Cyber ​​​​Data Science Market report provides supreme data, such as development strategy, competitive landscape, environment, opportunities, risks, challenges and barriers, supply chain optimization value, contact and revenue information, technological advancements, product offerings of key players and the dynamic structure of the market. The Global Cyber ​​Data Science Market report provides the growth rate, recent trends, and an absolute study of major players at regular intervals in the market based on the weightlessness of their product description, business outline, and their business tactics.

Download Free PDF Sample Report with Full TOC, Figures and Charts (with covid 19 impact analysis): https://www.maccuracyreports.com/report-sample/204095

Summary

According to XYZResearch study, over the next 5 years the Data Cyber ​​Science market will register a xx% CAGR in terms of revenue, the global market size will reach USD xx Million by 2026, from USD xx Million in 2020. In particular, it should be noted that the impact of the epidemic has accelerated the trend of localization, regionalization and decentralization of the global industrial chain and supply chain, so it is inevitable to rebuild the global industrial chain. Faced with the global industrial change of the post-epidemic era, enterprises in different countries need to take precautions. This report presents the revenue, market share and growth rate for each key company. In this analysis report, we will find the details below:

1. Comprehensive in-depth analysis of the market structure along with the forecast from 2021 to 2026 of the various segments of the global Cyber ​​Data Science market.

2. Who is the leading company in the cyber data science market, competitive analysis of key companies, mergers and acquisitions, market dynamics.

3. Which region has emerged as the largest growth area in Cyber ​​Data Science Market?

4. The most potential segment of each regional market.

5. Overview of factors affecting market growth, including the impact of COVID -19.

6. Global Cyber ​​Data Science Market based on value chain analysis and SWOT analysis.

7. Regional Market Analysis for current revenue (Million USD) and future prospects.

Key Players Operating in the Cyber ​​Data Science-Competitive Analysis Market:

Broadcom (Symantec Corporation)

Cisco Systems

Checkpoint Software

IBM

McAfee

Palo Alto Networks

Trend Micro Incorporated

Regional Segmentation (Value; Revenue, USD Million, 2015 – 2026) of the Cyber ​​Data Science Market by XYZResearch includes:

China

EU

United States

Japan

India

South East Asia

South America

Type Outlook (Value; Revenue, USD Million, 2015 – 2026):

cyber security

Artificial intelligence

Data science

Application Outlook (Value; Revenue, USD Million, Market Share, 2015 – 2026):

IT & Telecom

Retail

BFSI

Health care

Defence/Government

Manufacturing

Energy

Others

For any other requirements, do not hesitate to contact us and we will provide you with a personalized report.

Get an exclusive discount on this report @: https://www.maccuracyreports.com/check-discount/204095

Impact of COVID-19

The report covers the impact of the COVID-19 coronavirus: Since the outbreak of the COVID-19 virus in December 2019, the disease has spread to almost every country in the world, as declared by the World Health Organization public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt and will significantly affect the global data cyberscience market in 2022.

The COVID-19 outbreak has affected many aspects, such as flight cancellations; travel bans and quarantines; restaurants closed; all restricted indoor/outdoor events; more than forty countries declare a state of emergency; massive supply chain slowdown; stock market volatility; declining business confidence, growing panic among the population and uncertainty about the future.

Global Cyber ​​Data Science Market Report Coverage Highlights:

– A comprehensive background analysis, which includes an assessment of the global cyber data science market.
– Significant changes in the market dynamics of the global cyber data science market
– Segmentation of the global data e-science market up to the second and third level regional bifurcation
– Historical, current, and projected size of the global Cyber ​​Security market with respect to both value (revenue) and volume (production and consumption)
– Report and assessment of recent developments in the global cyber data science market
– Market share of the global computational data science market and strategies of key players
– Emerging segments of the global niche data cyberscience market and regional markets
– An objective assessment of the trajectory of the global Data Cyberscience market
– Recommendations for businesses to strengthen their presence in the global Computational Data Science market market

Additionally, the export and import policies that can have an immediate impact on the global cyber data science market. This study contains EXIM* related chapter on Global Cyber ​​Data Science Market and all its associated companies with their profiles, which provides valuable data on their outlook in terms of financials, product portfolios, investment plans and marketing and sales strategies.

Comprehensive report on the Global Cyber ​​Data Science Market report spread over 200+ pages, list of tables and figures, profiling 10+ companies. Select license version and purchase this updated research report directly @ https://www.maccuracyreports.com/checkout/204095

Answers to key questions in the report:

• What is the growth potential of the global cyber data science market?
• Which product segment will take the lion’s share?
• Which regional market will impose itself as a pioneer in the years to come?
• Which application segment will experience strong growth?
• What growth opportunities might arise in the mobility healthcare solutions industry in the coming years?
• What are the most significant challenges that the global cyber data science market may face in the future?
• Who are the leading companies in the global cyber data science market?
• What are the main trends that are positively impacting market growth?
• What growth strategies are the players considering to stay in the global Cyber ​​Data Science market?

If you have any special requirements, please let us know and we will offer the report as you wish.

About Us:

MR Accuracy Reports’ well-researched contributions that encompass areas ranging from IT to healthcare enable our valued clients to capitalize on key growth opportunities and protect against credible threats prevailing in the market in the scenario current and those expected in the near future. Our research reports provide our clients with macro-level insights in various key regions of the world that provide them with a broader perspective to align their strategies to take advantage of lucrative growth opportunities in the market.

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The 10 most innovative companies in data science for 2022 https://ictnieuws.net/the-10-most-innovative-companies-in-data-science-for-2022/ Tue, 08 Mar 2022 11:00:24 +0000 https://ictnieuws.net/the-10-most-innovative-companies-in-data-science-for-2022/ Explore the full 2022 list of Fast Company’s Most Innovative Companies, 528 organizations whose efforts are reshaping their businesses, industries and broader culture. We selected the companies that are making the most impact with their initiatives in 52 categories, including the most innovative media, design and AI companies. Today, almost all companies are using data […]]]>

Explore the full 2022 list of Fast Company’s Most Innovative Companies, 528 organizations whose efforts are reshaping their businesses, industries and broader culture. We selected the companies that are making the most impact with their initiatives in 52 categories, including the most innovative media, design and AI companies.

Today, almost all companies are using data science to improve their business and products. But the most innovative are harnessing data to advance their industries and developing solutions to some of the most pressing social, scientific and technical problems. Unleashing the power of artificial intelligence and machine learning technologies, these companies have found new applications for data and are making progress across industries.

This year’s list of the most innovative companies in data science includes Microsoft, which uses data about how we work to inform new features for its teams and work products that offer a more human approach to hybrid working. UrbanFootprint has a sophisticated data platform that can identify households facing food insecurity or eviction, and help institutions direct their aid more effectively and efficiently. IPM.ai and Sema4, meanwhile, put their data analysis skills to use in delivering better healthcare to patients. And Smarter Sorting uses the data to determine the toxicity of products without having to test on animals.

Other companies use the data for more fun purposes: first leaf the wine subscription club pioneered a way to leverage artificial intelligence to analyze over 2,000 attributes for each bottle it offers and manage shipments to each member’s personal palate. Here’s a rundown of the best data science apps in 2022.

1.Microsoft

To use data about how we work to create new product features

Microsoft uses data about how we work to inform product development of its work applications. In March, the company released its annual Labor Trends Index, a collection of key trends shaping working life today, compiled from a study of more than 30,000 people in 31 countries, data from Microsoft 365 and LinkedIn, and brain research from Microsoft’s Human Factors Lab. . Based on the index results, Microsoft has refined its work apps with new features, including an Outlook meeting delay tool that encourages breaks between meetings, a virtual commute experience to help remote workers being more intentional in setting up and relaxing for the day, and a together mode that puts everyone in a virtual space so speakers can make eye contact with their team as if they were watching an auditorium. In July 2021, Teams had 250 million monthly active users (against 145 million in April of the same year). In October 2021, Microsoft reported that 138 organizations had more than 100,000 Teams users and more than 3,000 organizations had more than 10,000 users.

Microsoft is No. 8 on Fast Company’s list of the 50 most innovative companies in the world in 2022.

2.IPM.ai

To identify patients with rare diseases

Using its artificial intelligence and machine learning technologies, insights-as-a-service provider IPM.ai identifies undiagnosed or misdiagnosed patients with rare diseases to help them get the care they need need. Part of the global healthcare innovation company Real Chemistry, IPM.ai offers data analysis of over 300 million anonymous patient journeys, 65 billion social determinants of health signals, and multiple sources of scientific research, to create models that identify patients in need of specific care. The company recently launched a product that both locates medically eligible patients for rare disease trials and helps optimize study design and protocol development. During its three years of operation, IPM.ai has grown by 100% each year and has identified thousands of patients with rare and sometimes fatal diseases.

3.Sema4

To develop predictive technology for holistic health trajectories

Sema4 uses patient outcome data to improve predictive health trajectory technology. In September, the company launched Sema4 Elements, a portfolio of data-driven genomics solutions to help providers holistically treat patients during reproduction and pregnancy. Portfolio information includes the optimal time for a pregnant woman to have a non-invasive prenatal test (NIPT), predicted risk of preeclampsia, identification of molecular ancestry, and a pregnancy tool with weekly updates based on on individual patient health records. In 2021, Sema4 increased its number of patient records by approximately 100%, reaching almost 20 million at the end of the second quarter.

4. Urban Footprint

To use the data to direct aid to people facing food insecurity or eviction

With the spotlight on social inequality this year, companies using data to drive real change stand out amid empty statements and acknowledgments. UrbanFootprint has developed a community resilience data platform that provides insights to help urban transformation projects. In 2021, the company launched two new products, Eviction Risk Insights (ERI) and Food Security Insights (FSI), the first data tools to track food insecurity and the eviction crisis in the United States. Using these tools, UrbanFootprint can identify households facing eviction or food insecurity, down to the block group level, and highlight others at risk. With multiple six-figure contracts with state and local agencies across the United States, UrbanFootprint has helped direct aid to millions of at-risk households.

5. TigerGraph

To create the first graph database as a service

TigerGraph is the first company to offer a distributed native graph database as a service, giving customers a holistic view and understanding of their businesses. With the largest and most scalable graphing platform in the world, TigerGraph is able to run deep link queries and produce results in less than a minute. The software company connects numerous datasets and pipelines to create 360 ​​customer solutions and analyze connected data, helping customers optimize supply chain time, block fraudulent activity on mobile networks and train AI-based customer platforms. In 2021, TigerGraph saw a 300% increase in user adoption and revenue.

6. Data bricks

For launching the first open data sharing protocol

Databricks operates an open-source platform that serves as a data tool for businesses. In May 2021, the software company released a number of new machine learning features, including the world’s first open protocol designed to securely share data between organizations in real time, dubbed Delta Sharing. Databricks has received significant investment from major cloud providers AWS, Microsoft and Google, which along with other industry leaders have expressed support for the company’s new data protocol. Today, nearly half of the world’s top 500 companies use Databricks for data engineering and collaborative data science.

7. Smarter sorting

To prevent animal cruelty by eliminating toxic product testing

Smarter Sorting helps prevent animal cruelty by using data calculations to determine a product’s toxicity without having to test on animals. After gathering all the available data on a product, Smarter Sorting identifies the chemical ingredients and uses a library of toxicology data to determine the toxic level of each. The company then uses an acute toxicity estimation formula to calculate the product’s toxicity, running thousands of computer-generated scenarios, in just seconds, to validate the estimate. As of 2021, Smarter Sorting’s Product Intelligence platform has been adopted by over 1,200 suppliers and 24 major retailers like Costco, Wegmans and Albertsons. The company’s revenue, meanwhile, was on track for 600% year-over-year growth in 2021.

8. Agricultural Business Network

To bring transparency to agriculture

Farmers Business Network (FBN) uses its data-driven commerce platform to drive the profitability and sustainability of family farms, leveraging insights from a network of more than 32,000 farmers in the United States, Canada and in Australia. In 2021, the company introduced FBN Price Transparency to its online store, using more than 79,000 global prices to give farmers the ability to compare the costs of agricultural products often sold at very different prices. Farmers Business Network has also built price transparency into its FBN Seed Finder, mining over 43,000 seed invoices. The increased transparency of the FBN platform will help family farms save money and stay afloat in a market dominated by factory farms.

9. Saildrone

To provide large-scale information about the world’s oceans

Across the world’s oceans, Saildrone’s autonomous surface vehicles collect information for mapping, military and climate applications. The company’s vehicles have spent more than 15,000 days at sea, sailing more than 500,000 nautical miles to collect high-resolution data. With sophisticated sensors, cameras and scientific instruments, Saildrone has compiled tens of millions of maritime images which have been used to train the company’s artificial intelligence technologies to enable real-time intelligence over the oceans. of the world. Saildrone’s large-scale datasets have provided more detail about our oceans than any other company before.

10. First leaf

To create a wine subscription that knows your tastes better than you do

Firstleaf performs more than a septillion calculations a day to curate a personalized selection of wines for its wine club members. The experience begins with a nine-question quiz to determine each customer’s taste profile, which is then further developed through a scoring system that leverages machine learning to learn and refine the member’s preferences. For every wine produced by Firstleaf, an internal chemical analysis is performed, which is leveraged by an artificial intelligence platform that analyzes over 2,000 attributes per wine to arrange a shipment. There are over 82 million possible wine box combinations, and 98% of monthly curations are unique bottle combinations.

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The 5 Best Investment Games for Blockchain https://ictnieuws.net/the-5-best-investment-games-for-blockchain/ Fri, 04 Mar 2022 17:22:00 +0000 https://ictnieuws.net/the-5-best-investment-games-for-blockchain/ Jhe beginnings of blockchain are now behind us. The “Bitcoin Mania” of late 2017 has passed. By now most of you know at least the basics of cryptocurrencies, blockchain and bitcoin. Many of you probably have some sort of exposure to cryptocurrencies. It is easier than ever to own crypto thanks to the recent launch […]]]>

Jhe beginnings of blockchain are now behind us. The “Bitcoin Mania” of late 2017 has passed. By now most of you know at least the basics of cryptocurrencies, blockchain and bitcoin. Many of you probably have some sort of exposure to cryptocurrencies. It is easier than ever to own crypto thanks to the recent launch of Bitcoin ETFs. You don’t need to have a wallet or an exchange app on your phone, you can load BTCUSD as easily as buying Nvidia stock.

Now, a new class of crypto has emerged. The space has evolved and the profits will go up for those who take advantage of it. Those who don’t adapt will be left behind. Exciting new ten bag profit potential themes are all around us. Rather than just chasing bitcoins, money is earned in non-fungible tokens (NFTs) and meme coins like Dogecoin and Shiba Inu, while DeFi (decentralized finance) has become the name of the game. How will you leverage of this context of an ever-changing landscape?

In a world where central banks have turned on the taps and quantitative easing has become the norm, crypto is playing a new role. Bitcoin has seen its legitimization as an asset class. Bitcoin futures volumes have increased month on month. Publicly traded companies here in the United States are beginning to load bitcoin reserves onto their balance sheets. Yes, you read that right. Companies and shareholders are making a conscious decision to diversify their liquidity by adding cryptocurrency. We are not talking about a hundred dollars here or there, we are talking about billions of dollars. In total, publicly traded companies hold more than $10 billion in bitcoins. Between ETFs, countries like Nicaragua, public and private companies, there is more than $64 billion in bitcoins held on balance sheets like treasury bonds.

What if this becomes common practice in all publicly traded companies? This increase in demand is likely to trigger a further push above all-time highs.

Behind the recent market headlines about the Russian invasion of Ukraine and the fallout from the sanctions against the invader, the land grab in the blockchain world has begun. It started out as a gimmick, with companies changing names to attract new investors. Now it has evolved into well-established industries using blockchain technology to reduce costs, improve margins, and increase their bottom line. Large corporations like Walmart, UnitedHealth, and BMW have adapted blockchain technology to their needs. And it’s not just fledgling concepts and partnerships, there are real-world applications for blockchain that are already bringing huge changes to industries across the globe. The revolution has only just begun.

Just a few years ago, no one would have thought that these digital assets would be used to buy real-world goods. Businesses around the world are now accepting crypto as payment. You can now use bitcoin to buy a Tesla or even a trip to the movies at AMC. How about a trip to the moon with Dogecoin? No, seriously, you can use Dogecoin to pay SpaceX for an upcoming space mission.

In this article, I’m going to make sure you’re not going to hurt yourself by suing fake blockchain companies and instead, I’m going to point you towards investment ideas that are still fundamentally sound and built around real businesses. durable. Legitimation was a big buzzword around bitcoin. Everything these days revolves around the Ethereum blockchain and decentralized finance. It has the power to take everyday businesses and turn them into the next big business.

Continued . . .

————————————————– ————————————————– —

Will you benefit from the blockchain boom?

According to experts, it is 10 times more valuable than the internet. This “Internet of Money” is already changing the way the world does business. It is expected to skyrocket 7,953% from $4.9 billion today to nearly $395 billion by 2028.

Now Zacks is targeting the blockchain technology that drives cryptocurrencies like Bitcoin and others. The goal is to ride the growing boom without boost volatility from investing in the cryptos themselves.

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When you examine the cryptocurrency ecosystem, you find that there are many ways to invest in blockchain. We can divide these actions into five main categories.

1) “Pickaxes and axes” and miners

During the gold rush, those who really got rich were those who sold pickaxes and axes. That is, the companies that provided the tools for speculators to go out and try to strike it rich. In the world of cryptocurrency, this refers to the companies that manufacture the chips and hardware used for mining operations. Examples would include a host of semiconductor companies.

Then there are the miners themselves. Miners confirm transactions from one node to another by solving the cryptographic problem and are then rewarded in units of the cryptocurrency. We are already seeing publicly traded companies “mining” cryptocurrency. These companies mine the currency and then immediately resell it on the open market and pass the gains on to shareholders. Treat them like you would a pipeline company in the energy sector. These companies are small today, but could grow much larger over time.

There are even “green miners” there. These are companies that use renewable energy to power their crypto mining operations. Dividends increase over time because the negative drawdown of electricity costs is not a major factor.

2) The cloud

No other industry has been as dependent on the cloud for its development as blockchain. The need to distribute a ledger across the globe, with no centralized ownership or authority to oversee transactions, plays to the strengths of the cloud. However, the cloud is still under threat here, as blockchain technology can distribute storage across the world, fighting against the centralized nature of traditional cloud services. Yet this industry can adapt technology to take advantage of it.

3) Decentralized Finance (DeFi)

Payment processing is one of the most disruptive industries for blockchain. Rather than your traditional financial intermediary, blockchain technology enables a distributed, open public ledger where transactions are confirmed by other nodes in the chain for a fee far below your usual fees from more traditional processors.

Blockchain technology is also perfect for lending, allowing a lender to spread their risk across thousands of loans in an instant, regardless of the size of the lender. We are only the tip of the iceberg in this area.

Smart contracts can be traded on these ledgers. These contracts can automatically make scheduled payments. No third-party authenticator is needed. These contracts can also be easily bought and sold on the blockchain, providing quick access and instant liquidity.

4) Investors, business development companies and consulting

There will be a wave of companies looking for ways to integrate blockchain technology into their existing businesses. Already, large consulting firms are beginning to offer services to help companies integrate new technology. Gartner has even developed a dedicated site for this purpose.

Some listed companies act as incubators for other budding cryptocurrencies. There are nearly 18,000 cryptocurrencies in the world with a total market cap of over $1.8 trillion. The total volume of the global crypto market exceeds $77 billion per day. These investors and business development companies invest in promising crypto companies before they go mainstream.

5) Futures and ETFs

The biggest news event of the past year for bitcoin has to be the approval of bitcoin ETFs. This has made investing in bitcoin as easy as buying an individual stock. It’s not just Bitcoin anymore. Ethereum has become the next fully legitimized cryptocurrency. It’s only a matter of time before the SEC finally relents and allows an Ethereum-based ETF to hit the market. Already, the futures contracts for each are traded thousands of times on major exchanges in the United States, including the highly respected CME Group.

Conclusion

Blockchain technology is already having a major impact on almost every industry you can think of, and that impact will only accelerate over time. In fact, experts predict the space will skyrocket by +7,953% to $395 billion by 2028.

Just like in the early days when the internet was the new emerging technology, investors have the opportunity to pocket huge gains. That’s why I invite you to consult our portfolio service Blockchain Innovators.

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We are aiming for explosive profit potential and sustained long-term growth from stock selection to ride the blockchain boom from multiple angles – from supplying chips and hardware to fintech companies and processing data. payments.

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Good investment,

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Dave is Zacks resident technical and dynamic expert. First successful crypto investor, selects stocks and delivers exclusive commentary for our new portfolio, Blockchain Innovators.

Click to get this free report

To read this article on Zacks.com, click here.

Zacks Investment Research

The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.

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Oyo appoints former PayU director Prakash Padariya as cybersecurity chief https://ictnieuws.net/oyo-appoints-former-payu-director-prakash-padariya-as-cybersecurity-chief/ Thu, 03 Mar 2022 09:48:00 +0000 https://ictnieuws.net/oyo-appoints-former-payu-director-prakash-padariya-as-cybersecurity-chief/ Online hotel aggregator Oyo has announced the appointment of Prakash Padariya as chief information security officer (CISO) for the IT and security teams. In his role as Oyo, Padariya will lead a security strategy for the company’s systems globally, including regions such as India, ESA, Europe, the United States and the UK. […]]]>

Online hotel aggregator Oyo has announced the appointment of Prakash Padariya as chief information security officer (CISO) for the IT and security teams. In his role as Oyo, Padariya will lead a security strategy for the company’s systems globally, including regions such as India, ESA, Europe, the United States and the UK.

He will also be responsible for leveraging technologies such as big data analytics and artificial intelligence to improve cybersecurity functions from the ground up.



Padariya’s last stint was at the Dutch headquarters of online payment solutions provider PayU, where he held a similar position. He has over 19 years of experience across geographies with extensive expertise in enterprise security consulting, cyber security, cyber warfare, vulnerability assessment, among others.

Besides PayU, he has held leadership positions in Fortune 100 multinationals such as GE, Royal Bank of Scotland, IBM, Target Corporation and Accenture. At Oyo, he will report directly to Ankit Mathuria, the company’s Chief Technology Officer.

“I’m super excited to join OYO at this point where all travel is transforming and resurfacing post Covid-19. I’m honored to be part of this team and can’t wait to start developing solutions to improve everyone’s maturity .Oyo’s products at the next level of security and privacy,” he said.

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Global Artificial Intelligence for Blockchain Market Growing Demand, Industry Synopsis, Opportunities and Analysis 2022 to 2027 – Business Ethics https://ictnieuws.net/global-artificial-intelligence-for-blockchain-market-growing-demand-industry-synopsis-opportunities-and-analysis-2022-to-2027-business-ethics/ Wed, 02 Mar 2022 08:19:45 +0000 https://ictnieuws.net/global-artificial-intelligence-for-blockchain-market-growing-demand-industry-synopsis-opportunities-and-analysis-2022-to-2027-business-ethics/ The report published by MarketandResearch.biz have the Global Artificial Intelligence for Blockchain Market from 2021 to 2027 is released. It includes a top-down survey of related essentials, and optional information is completed to give a clear perspective on the business climate the company is going through. This is accomplished through the Porter exam, SWOT survey, […]]]>

The report published by MarketandResearch.biz have the Global Artificial Intelligence for Blockchain Market from 2021 to 2027 is released. It includes a top-down survey of related essentials, and optional information is completed to give a clear perspective on the business climate the company is going through.

This is accomplished through the Porter exam, SWOT survey, and other particular exam strategies. Our investigators have thoroughly verified the information to provide the most accurate premise for our future investigation and to ensure acceptable results.

The report provides information on the Artificial Intelligence for Blockchains market at the regional level, which has been further divided at the country level to provide a detailed view of the businesses. Special attention has been given to key players in the company profile section. This section includes financial revenue, geographical presence, business overview, products offered and key strategies adopted by players to stay ahead of the competition.

DOWNLOAD A FREE SAMPLE REPORT: https://www.marketandresearch.biz/sample-request/184724

The main suppliers available on the market are:

  • Workdone Inc.
  • WealthBlock.AI, LLC
  • Vitalyx Ltd
  • Verisart, Inc.
  • Talla Inc.
  • Stowk Inc.
  • SoluLab
  • ScienceSoft
  • Ripple Labs Inc.
  • Primafelicitas Ltd
  • Neurochain Technology
  • NetObjex, Inc.
  • Labrys
  • HARA
  • Gainfy
  • Recover.ai
  • Cyware Labs Inc.
  • Core Scientific, Inc.
  • CoinGenius
  • chain house
  • BurstIQ, LLC
  • Blaise
  • Blackbird.AI
  • Bext Holdings Inc.
  • AlphaNetworks

The review is comprehensive, both in its completeness and in the scope of the audit. It reliably covers global events while also focusing on vital local market quarters, like

  • North America (United States, Canada and Mexico)
  • Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
  • Asia-Pacific (China, Japan, Korea, India, Southeast Asia and Australia)
  • South America (Brazil, Argentina, Colombia and rest of South America)
  • Middle East and Africa (Saudi Arabia, United Arab Emirates, Egypt, South Africa and Rest of Middle East and Africa)

The variety between modern execution limits and supply demand situations in different geographical locations is precisely taken into account in this review.

The report is categorized into segments:

The segments are separated based on the measurement of the data mix which incorporates a progressive and basic system. The tip-down approach evaluates specific components for dynamics. First, it considers the broad business sector and then adventures down to more hidden levels. The base-down approach is based on the minor credits of the market and is then associated with the overall market level.

The many applications on the market are:

  • BFSI
  • Automotive
  • Health and life sciences
  • Manufacturing
  • Media and entertainment
  • Telecommunications and IT
  • Others

ACCESS THE FULL REPORT: https://www.marketandresearch.biz/report/184724/global-artificial-intelligence-for-blockchains-market-growth-status-and-outlook-2021-2026

The report contains crucial information on:

  • Analysis of key players
  • Regional analysis
  • Market growth and various factors driving and affecting it

Report customization:

This report can be customized to meet customer requirements. Please contact our sales team (sales@marketandresearch.biz), who will ensure that you get a report tailored to your needs. You can also get in touch with our executives at +1-201-465-4211 to share your research needs.

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E-mail: sales@marketandresearch.biz

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