Artificial intelligence – ICT Nieuws http://ictnieuws.net/ Thu, 24 Nov 2022 13:56:31 +0000 en-US hourly 1 https://wordpress.org/?v=5.9.3 https://ictnieuws.net/wp-content/uploads/2021/10/icon-37-120x120.png Artificial intelligence – ICT Nieuws http://ictnieuws.net/ 32 32 Research, News CIOSEA, ETCIO SEA https://ictnieuws.net/research-news-ciosea-etcio-sea/ Tue, 22 Nov 2022 03:47:00 +0000 https://ictnieuws.net/research-news-ciosea-etcio-sea/ The Global artificial intelligence as a service the market size is expected to reach USD 96,064.7 million by 2030, according to a new report by Grand View Research, Inc. The market is expected to grow at a CAGR of 37.1% from 2022 to 2030. Artificial intelligence as a service (AIaaS) is a third-party artificial intelligence […]]]>

The Global artificial intelligence as a service the market size is expected to reach USD 96,064.7 million by 2030, according to a new report by Grand View Research, Inc. The market is expected to grow at a CAGR of 37.1% from 2022 to 2030. Artificial intelligence as a service (AIaaS) is a third-party artificial intelligence outsourcing service that allows large enterprises and SMEs to explore development opportunities without requiring a large upfront investment. It allows enterprises or end users to experiment with AI for various applications while limiting initial investment and risk.

Key industry insights and findings from the report:

  • Rising spending on the adoption of artificial intelligence and technical improvement for workflow optimization is driving the demand for AI as a service.
  • The increased use of cloud-based solutions and the need for artificial intelligence and cognitive computing are driving the expansion of the market.
  • Manage massive amounts of Data alongside other business activities is becoming a challenge for businesses, creating demand for managed and professional artificial intelligence (AI) services.
  • Banks are using AI skills to detect and prevent fraud, chatbots and algorithmic trading purposes, enabling banking institutions to improve their operations and increase the use of AI services in BFSI activity.


Artificial Intelligence as a Service Market Growth and TrendsIncreased R&D efforts of AI as service providers and governments across countries are driving the market for artificial intelligence as a service. Furthermore, greater integration of AIaaS with blockchain and increased investments in AIaaS by governments and end users are likely to drive the market for artificial intelligence as a service. For example, in July 2022, the United Nations Development Program (UNDP), a United Nations agency, and the Telangana government established Data on Climate Resilient Agriculture (DiCRA), a platform service powered by AI focused on providing farmers with information on climate change. The AI ​​platform can identify climate change resilient farms and other vulnerable ones using pattern detection and remote sensing algorithms.

Additionally, progressive companies are embracing artificial intelligence and other digital technologies to improve the overall work experience. Employees need fast support to stay productive with the change to working from anywhere, whether they have an HR request, an IT issue, or a question about expense policy. Traditional service desks lack the speed and scale to provide a hybrid workforce with real-time, 24/7 support. To completely solve this problem, AI, as a service provider, offers employees the assistance they need in seconds. For example, in July 2022, Moveworks, Inc., a US-based artificial intelligence startup, announced a collaboration with Tata Consultancy Services Limited. This partnership enables customers to revamp their service centers with AI, and they can rely on the partnership’s expertise and technology to automatically support their staff.

More and more companies are investing in AI technologies and harnessing AI skills to stay ahead of the global competition. The increased use of social media and the Internet of Things (IoT) is driving demand for AI technology. Additionally, many AI technology vendors find the provision of AI tools and software insufficient as many companies seek outsourcing services. As a result, the market has witnessed an increasing demand for AI services.

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Artificial intelligence as a service market worth $96,064.7 million by 2030: Grand View Research, Inc. https://ictnieuws.net/artificial-intelligence-as-a-service-market-worth-96064-7-million-by-2030-grand-view-research-inc/ Mon, 21 Nov 2022 11:30:00 +0000 https://ictnieuws.net/artificial-intelligence-as-a-service-market-worth-96064-7-million-by-2030-grand-view-research-inc/ SAN FRANCISCO, November 21, 2022 /PRNewswire/ — The Global artificial intelligence as a service market the size should reach $96,064.7 million by 2030, according to a new report from Grand View Research, Inc. The market is expected to grow at a CAGR of 37.1% from 2022 to 2030. Artificial Intelligence as a Service (AIaaS) is […]]]>

SAN FRANCISCO, November 21, 2022 /PRNewswire/ — The Global artificial intelligence as a service market the size should reach $96,064.7 million by 2030, according to a new report from Grand View Research, Inc. The market is expected to grow at a CAGR of 37.1% from 2022 to 2030. Artificial Intelligence as a Service (AIaaS) is a third-party artificial intelligence outsourcing service that enables large enterprises and SMBs to explore development opportunities without requiring a large initial investment. . It allows enterprises or end users to experiment with AI for various applications while limiting initial investment and risk.

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Key industry insights and findings from the report:

  • Rising spending on the adoption of artificial intelligence and technical improvement for workflow optimization is driving the demand for AI as a service.

  • The increased use of cloud-based solutions and the need for artificial intelligence and cognitive computing are driving the expansion of the market.

  • Managing huge amounts of data alongside other business activities is becoming a challenge for enterprises, creating a demand for managed and professional artificial intelligence (AI) services.

  • Banks are using AI skills to detect and prevent fraud, chatbots and algorithmic trading purposes, enabling banking institutions to improve their operations and increase the use of AI services in BFSI business.

Read the full 100-page market research report, “Report analyzing the Artificial Intelligence as a Service Market Size, Share and Trends by Technology, by Service Type, by Deployment, by Vertical (BFSI, Healthcare, Retail, Energy and Utilities), by Region and Segment Forecast, 2022-2030“, published by Grand View Research.

Artificial Intelligence as a Service Market Growth and Trends

Increased R&D efforts of AI as service providers and governments across countries are driving the market for artificial intelligence as a service. Furthermore, greater integration of AIaaS with blockchain and increased investments in AIaaS by governments and end users are likely to drive the market for artificial intelligence as a service. For example, in July 2022, the United Nations Development Program (UNDP), an agency of the United Nations, and the Government of Telangana have created Data on Climate Resilient Agriculture (DiCRA), a platform service powered by the AI which aims to provide farmers with information on climate change. The AI ​​platform can identify climate change resilient farms and other vulnerable ones using pattern detection and remote sensing algorithms.

Additionally, progressive companies are embracing artificial intelligence and other digital technologies to improve the overall work experience. Employees need fast support to stay productive with the change to working from anywhere, whether they have an HR request, an IT issue, or a question about expense policy. Traditional service desks lack the speed and scale to provide a hybrid workforce with real-time, 24/7 support. To completely solve this problem, AI, as a service provider, offers employees the assistance they need in seconds. For example, in July 2022Moveworks, Inc., an artificial intelligence startup based in United States, announced a collaboration with Tata Consultancy Services Limited. This partnership enables customers to revamp their service centers with AI, and they can rely on the partnership’s expertise and technology to automatically support their staff.

More and more companies are investing in AI technologies and harnessing AI skills to stay ahead of the global competition. The increased use of social media and the Internet of Things (IoT) is driving the demand for AI technology. Additionally, many AI technology vendors find the provision of AI tools and software insufficient as many companies seek outsourcing services. As a result, the market has witnessed an increasing demand for AI services. Businesses can improve their productivity by implementing AI-powered IoT solutions in industries such as manufacturing, retail analytics, self-driving cars, and more. This is expected to fuel the AI-as-a-Service market. For example, in May 2021, Bosch Global Software Technologies Private Limited introduced Phantom Edge, an AIoT platform that provides a real-time picture of electrical power consumption and addresses energy efficiency challenges in various industries. The platform collects energy signatures and ML algorithms at the edge using non-intrusive sensors. It processes these signatures to provide a real-time picture of electrical parameters, power consumption, operating usage, and device-level information, producing its digital twin.

Artificial Intelligence as a Service Market Segmentation

Grand View Research has segmented the global Artificial Intelligence as a Service (AIaaS) market on the basis of technology, type of service, organization size, deployment, vertical, and region

Artificial Intelligence as a Service Market – Technology Outlook (Revenue, USD Million, 2017 – 2030)

Artificial Intelligence as a Service Market – Service Type Outlook (Revenue, USD Million, 2017 – 2030)

Artificial Intelligence as a Service Market – Organization Size Outlook (Revenue, USD Million, 2017 – 2030)

Artificial Intelligence as a Service Market – Deployment Outlook (Revenue, USD Million, 2017 – 2030)

Artificial Intelligence as a Service Market – Vertical Insights (Revenue, USD Million, 2017 – 2030)

  • Banking, Finance and Insurance (BFSI)

  • Health and life sciences

  • Detail

  • IT & Telecommunications

  • Government and defense

  • Manufacturing

  • Energy and Utilities

  • Others

Artificial Intelligence as a Service Market – Regional Outlook (Revenue, USD Million, 2017 – 2030)

List of Key Players of Artificial Intelligence as a Service Market

  • Amazon Web Services, Inc.

  • Salesforce, Inc.

  • International Commercial Machinery Society

  • intel company

  • Microsoft

  • BigML, Inc.

  • Google

  • SAP SE

  • Siemens

  • Just Isaac Corporation

Check out other related studies published by Grand View Research:

  • Pathology Laboratory Market The global pathology laboratory market is expected to reach $612.2 billion by 2030, based on a new report by Grand View Research, Inc. The market is expected to expand at a CAGR of 7.86% from 2022 to 2030. Key factors driving the industry include rising life expectancy, the development of health infrastructures in developing countries, prioritizing reimbursement, and the growing demand for routine medical visits.

  • Extension Catheters Market Guide – The Global Guiding Extension Catheters Market is Expected to Reach $376.58 million by 2030, registering a CAGR of 8.81% over the forecast period, according to a new report from Grand View Research, Inc. Increase in the number of patients suffering from heart conditions such as angina pectoris and Myocardial infarction, along with an increase in the inclination towards minimally invasive procedures are the key factors expected to drive the guide extension catheter market growth.

  • Non-surgical rhinoplasty market – The global non-surgical rhinoplasty market size is expected to reach $1.3 billion by 2030, according to a new report by Grand View Research, Inc. The market is expected to register a CAGR of 8.1% from 2022 to 2030. Non-surgical rhinoplasty, also known as liquid rhinoplasty, is a cosmetic procedure non-invasive used to alter the shape and define a person’s nose using injectable fillers such as hyaluronic acid fillers. This method offers immediate results, with no downtime, is less invasive and inexpensive. All these factors are expected to fuel the growth of the market.

Browse Grand View Research results Medical device industry Research reports.

About Grand View Research

Grand View Research, a US-based market research and consulting firm, provides syndicated and custom research reports and consulting services. Checked in California and whose head office is at San Francisco, the company has more than 425 analysts and consultants, adding more than 1,200 market research reports to its extensive database each year. These reports offer in-depth analysis of 46 industries in 25 major countries around the world. Using an interactive market intelligence platform, Grand View Research helps Fortune 500 companies and renowned academic institutes understand the global and regional business environment and assess upcoming opportunities.

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“Artificial Intelligence is the future of the pharmaceutical industry and is here to stay” https://ictnieuws.net/artificial-intelligence-is-the-future-of-the-pharmaceutical-industry-and-is-here-to-stay/ Fri, 18 Nov 2022 09:07:32 +0000 https://ictnieuws.net/artificial-intelligence-is-the-future-of-the-pharmaceutical-industry-and-is-here-to-stay/ There is a constant tug of war between the need to innovate and the need to mitigate risk in the pharmaceutical sector. The digital process must gain momentum in the pharmaceutical industry, sharing Dr Vishal RajgarhiaDirector, Finecure Pharmaceuticals Limited in an interaction with Kaanchi Chawla of Elets Information Network (ENN). Edited excerpts: With the increasing […]]]>

There is a constant tug of war between the need to innovate and the need to mitigate risk in the pharmaceutical sector. The digital process must gain momentum in the pharmaceutical industry, sharing Dr Vishal RajgarhiaDirector, Finecure Pharmaceuticals Limited in an interaction with Kaanchi Chawla of Elets Information Network (ENN). Edited excerpts:

With the increasing penetration of technology in the industry, what are the trends and innovations taking place in the Indian pharmaceutical industry?

Many new trends have had a considerable impact on the pharmaceutical industry, especially since the advent of Covid, practically changing its face forever. Among them, the use of artificial intelligence has accelerated the discovery and production of new drugs and therapies at significantly reduced costs, which helps to increase productivity and improve efficiency. Artificial intelligence is also of great help in designing marketing strategies and practical accessibility to hitherto unexplored markets. Big data is a mine of information, an asset for developing new solutions. Pharmaceutical companies can use the power of unlimited data to make more remarkable progress in the discovery and development of new drugs, as well as new applications for existing compounds. Blockchain technology is another innovation that has helped the industry evolve and grow. Thanks to this modernization, it is now possible to set up an efficient production and distribution of medicines. Second, it helps in data analysis and, therefore, will lead to better results in drug development. In addition, it offers a high level of security and transparency. Thanks to it, pharmaceutical companies can fight against counterfeit and poor quality medicines.

What are the factors driving the growth of the Indian pharmaceutical industry?

The main growth is driving government support for the pharmaceutical industry, digital transformation, cost efficiency, improved and low-cost production, and a huge and skilled workforce. Under the shock of covid, the government has helped streamline pharmaceutical manufacturing through innovative and generous policies and initiatives. Financial incentives have also been provided. The latest technologies and the widespread use of artificial intelligence have helped to improve the R&D process, thus leading to the discovery of newer and better drugs. The availability of a huge workforce has ensured that no manufacturing step has been hampered and today India’s pharmaceutical industry has successfully become the world’s third largest in terms of volume and among the top ten first in value.

The rapid increase in technology increases the risks. What is the biggest challenge facing the pharmaceutical industry today?

While the increase in technology has helped cope with the challenges presented by two years of covid, the rapid increase has also brought its fair share of problems. Since these changes are so profound and comprehensive, it is a major challenge for pharmaceutical companies to keep pace. Digital technology in the pharmaceutical industry has helped increase the efficiency, quality and speed of drug development, but it has often been difficult to keep pace with its rapid development. Additionally, data breaches and cybersecurity threats have made it difficult to protect valuable consumer data. Large industrial organizations normally have the essential means to adopt new digital solutions. However, smaller manufacturers often lack the means to pursue these same goals, and the cost of installing such systems could become an obstacle. Additionally, the pharmaceutical industry is still somewhat new to the digital game. Many manufacturing managers may not understand the inner workings of some of the latest developments such as artificial intelligence, cloud computing, and advanced data analytics, and finally, employees used to the traditional work style may resist changes because they may not be too many. comfortable with it. However, slowly but surely, the invasion of the digital landscape will totally change the face of the industry for the better.

Artificial intelligence is becoming popular in all industries. Do you think AI plays an imperative role in the pharmaceutical industry? If yes, how ?

Artificial intelligence is the future of the pharmaceutical industry and it’s here to stay. It can reduce costs, improve patient care, drive profitable innovation and improve business outcomes across the value chain. Almost all pharmaceutical companies are leveraging the power of AI to help them overcome many challenges. AI helps to efficiently access and analyze large amounts of data to improve business processes and results. It provides essential information on how to improve drug design, optimization and synthesis. It eliminates human errors and speeds up work processes leading to affordable yet cost-effective drugs. Additionally, AI tools can improve the success rate of new drugs by performing quality control and solving supply chain issues within the production line, and reducing material waste. A singular benefit of AI is its ability to perform predictive maintenance that helps reduce operational costs.

Digital processes are gaining ground in the pharmaceutical industry. Do you think this improves transparency and mitigates data loss?

There is a constant tug of war between the need to innovate and the need to mitigate the risk it brings in its wake. The digital process must gain momentum in the pharmaceutical industry. All manual methods exist simply because they have become the norm.

For example, digital processes, which have improved operational efficiency and made it easier to follow standard operating procedures, have replaced many paper-based processes. This is a trend that will continue. This will also help foster regulatory compliance. Many pharmaceutical companies value implementing digital processes because the benefits far outweigh the costs. They are constantly on the lookout for any technological advantage that could help them adapt to new and better ways of working. However, the same digital innovations can also lead to risks such as security breaches, regulatory compliance failures, and similar setbacks. It also improves transparency and has the potential to mitigate data loss. However, the pros far outweigh the cons, and the technology has placed the industry on a pedestal it has never trod before.

The cluster-based approach is increasingly recognized as an effective and sustainable strategy for improving the competitiveness of the pharmaceutical industry. What do you think of the contribution of cluster-based manufacturing to the growth of the pharmaceutical sector?

The cluster-based approach is a commendable government initiative that has proven to be a boon for all micro, small and medium enterprises. The format proposed a plan to bring together all these companies to improve productivity and competitiveness and strengthen the capacities and skills of SMEs located in clusters. This would not have been viable for individual industries as they would need world-class quality manufacturing facilities with high levels of productivity and innovation capabilities as well as a lot of financial capital. The cluster-based strategy is increasingly recognized as an effective and sustainable strategy for improving the competitiveness of the pharmaceutical industry. It is felt that this government’s Cluster Development Program for the Pharmaceutical Sector (CDP-PS) has single-handedly succeeded in improving the quality, productivity and innovation capacities of the pharmaceutical sector of SMEs in the country by giving it a value and a position to face all the challenges facing the industry. Common facilities provided include calibration and validation of major equipment, provision of common testing facilities such as analytical laboratory, toxicology centre, process and product validation laboratory, raw materials, a standardization laboratory which lead to better quality assurance and control. Establishment of a common environment-friendly incinerator and a common ETP (effluent treatment plant) for the safe disposal of hazardous and non-hazardous waste and establishment of a training center for training to proper documentation which is a very important part of the pharmaceutical industry. In a nutshell, the cluster-based approach has led to increased productivity, reduced operational costs, and competitive advantage in the marketplace.

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Artificial Intelligence (AI) in Drug Discovery Market Development, Danger Elements, Major Vendors, Industry Interest, Deals Channel, Ongoing Progress, Improvement Patterns, and Conjectures to 2026 https://ictnieuws.net/artificial-intelligence-ai-in-drug-discovery-market-development-danger-elements-major-vendors-industry-interest-deals-channel-ongoing-progress-improvement-patterns-and-conjectures-to-2026/ Tue, 15 Nov 2022 12:51:37 +0000 https://ictnieuws.net/artificial-intelligence-ai-in-drug-discovery-market-development-danger-elements-major-vendors-industry-interest-deals-channel-ongoing-progress-improvement-patterns-and-conjectures-to-2026/ Artificial intelligence (AI) in drug discovery report personalization and knowledge of Russian invasion of Ukraine and post-pre-Covid-19 covered in this report. There “Artificial Intelligence (AI) in Drug Discovery MarketThe report is an esteemed source of precise information about the central parts and current circumstances of the Artificial Intelligence (AI) in Drug Discovery market and anticipated […]]]>

Artificial intelligence (AI) in drug discovery report personalization and knowledge of Russian invasion of Ukraine and post-pre-Covid-19 covered in this report.

There “Artificial Intelligence (AI) in Drug Discovery MarketThe report is an esteemed source of precise information about the central parts and current circumstances of the Artificial Intelligence (AI) in Drug Discovery market and anticipated future development. Artificial Intelligence (AI) in Drug Discovery Market is basically based on factors that the organizations compete against, key patterns, size, offerings, market viewpoint, the commercial review (revenue survey), by therapeutic area (oncology, cardiovascular and metabolic diseases). Diseases), Technology (Machine Learning, Deep Learning), Application and Geography. From the perspective of players, nations, item types, and end companies, the report examines the current view in global regions and key regions. This Artificial Intelligence (AI) in Drug Discovery Market exploration provides in-depth information that enhances the translation, extension, and application of these reports.

Get a sample PDF of the report @ https://marketdigits.com/artificial-intelligence-ai-in-drug-discovery-market/sample

Market analysis and overview

The Artificial Intelligence (AI) in Drug Discovery market size is expected to reach Million USD by 2026 from USD Million in 2020 with a CAGR from 2021 to 2026.

Top Key Artificial Intelligence (AI) Players in Drug Discovery Market:

Key Players/Manufacturers: IBM Corporation, Google, NVIDIA Corporation, Microsoft, GNS Biotechnology, Deep Genomics, Cloud Pharmaceuticals, BioSymetrics, Berg Health, Insitro and NuMedii and others.

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The main deliverables of this report are market statistics with detailed classifications and breakdowns by revenue. Artificial Intelligence (AI) in Drug Discovery Market revenue split by type, application, and region. Players, stakeholders, and other participants in the global Artificial Intelligence (AI) in Drug Discovery Market will be able to gain a strong position as this report will surely benefit their marketing strategies. The market analysis focuses on revenue and forecast by region/country and by application in terms of revenue and forecast for the period 2016-2027. Detailed competitive landscape with identification of key players with respect to each type of market, in-depth market share analysis with individual revenues, market shares and company rankings.

The report further studies the market development status and future of Artificial Intelligence (AI) in Drug Discovery market trend across the globe. Further, it splits Artificial Intelligence (AI) in Drug Discovery market segmentation by Drugs, Route of Administration, Distribution Channel, End-Users, Application, and Region for in-depth research and reveals profile and market outlook.

Segmentations of artificial intelligence (AI) in the drug discovery market:

The main classifications are as follows:

By therapeutic area

  • Oncology
  • Cardiovascular illnesses
  • Metabolic diseases

By component

By technology

  • machine learning
  • deep learning

By app

  • Neurodegenerative diseases
  • Immuno-Oncology
  • CVD

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Global Artificial Intelligence (AI) in Drug Discovery Market Analysis:

North America: (USA, Canada, Europe, Germany, France, UK, Italy, Russia)

Asia Pacific: (China, Japan, South Korea, Australia, Taiwan, Indonesia, Thailand, Malaysia)

Latin America: (Mexico, Brazil, Argentina, Colombia)

Middle East and Africa: (Turkey, Saudi Arabia, United Arab Emirates)

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The main way out of this round design is to plan for this pandemic disruption, and we accept that organizations will benefit incredibly from our market experiences.

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Virtual Reality and Artificial Intelligence — Meet the 6 Companies Transforming Disney’s Immersive Experiences https://ictnieuws.net/virtual-reality-and-artificial-intelligence-meet-the-6-companies-transforming-disneys-immersive-experiences/ Fri, 11 Nov 2022 15:26:41 +0000 https://ictnieuws.net/virtual-reality-and-artificial-intelligence-meet-the-6-companies-transforming-disneys-immersive-experiences/ The Walt Disney Company is constantly coming up with ways to innovate and change the game when it comes to the latest technology. ©Disney Of revolutionary attractions at new patents and immersive experiences, Disney remains at the forefront of entertainment innovation. The Company recently hosted its Disney Accelerator Demo Day 2022which featured six different companies […]]]>

The Walt Disney Company is constantly coming up with ways to innovate and change the game when it comes to the latest technology.

©Disney

Of revolutionary attractions at new patents and immersive experiences, Disney remains at the forefront of entertainment innovation. The Company recently hosted its Disney Accelerator Demo Day 2022which featured six different companies helping Disney build the future of these immersive experiences.

The 2022 Disney Accelerator Demo Day was held on November 10 – what is Disney Accelerator Demo Day, you ask? It’s a celebration of the annual Disney Accelerator, “a business development program designed to accelerate the growth of innovative companies around the world.”

©Disney

This year’s Demo Day presentation brought together more than 15 senior executives from The Walt Disney Company in conversation with the founders of each of the six companies chosen for the accelerator in 2022. The companies specialize in a variety of areas, including augmented reality (AR), non-fungible tokens (NFT), and artificial intelligence (AI).

©Disney | Obtained via Medium — Disney NFT

You can read about the six companies chosen for Disney Accelerator this year and their specialties below:

  • Flickplay: Flickplay is a Web3 social app that allows users to discover digital collectibles related to real-life locations that they can discover and share via AR. Flickplay is in talks with Disney Consumer Products, Games and Publishing (CPGP) to create and provide collectible digital activations in physical locations across the United States.
  • AI around the world: Inworld allows users to create interactive AI-driven characters for immersive experiences. Today, Inworld announced that it is in talks with ILMxLAB, Lucasfilm’s immersive storytelling studio, to create development tools for creating large-scale characters in immersive worlds. Additionally, Inworld is exploring the development of an AI personality for DisneyStar’s DisneyStarverse platform. During today’s demo day, Inworld showcased a “Droid Maker” prototype that the company created in collaboration with ILMxLAB.
  • Lockerverse: Lockerverse is a community platform that empowers creators and brands to tell culture-defining stories and provide unique access and experiences. Lockerverse is working with ESPN to launch a free Celebration Bowl Trophy NFT, which will be exclusively offered for the first time at the Celebration Bowl on December 17 in Atlanta.
  • Obsess: Obsess is an experiential e-commerce platform that allows brands to create immersive 3D virtual stores on their websites and on Web3 platforms. In early October, Obsess launched the Disney Music Emporium virtual experience, an immersive online store celebrating the wonders of Disney music. Obsess is also in talks with Disneyland Resort and shopDisney to create a special retail experience.
  • Polygon: Polygon is a business layer for blockchain technology that enables developers and enterprises to create Web3 experiences. Polygon is working with Disney on developing a proof of concept for exclusive digital collectibles to recognize Disney employees on special occasions.
  • Red 6: Red 6 is an AR company that has created a patented headset and interface that works outdoors in dynamic, high-performance environments. Walt Disney Imagineering and Industrial Light & Magic (ILM) are exploring the possibilities of integrating this technology into our story-driven environments for next-generation experiences of the future.
Star Wars Metaquest Virtual Reality Experience

Following the presentations, Disney presented exclusive demos of The Disney Accelerator 2021 and 2022 Companies for the first time ever. Previous year companies showcased their recent technologies and collaborations with The Walt Disney Company, including:

  • Attentive: Attentive is a comprehensive mobile messaging platform that enables retail and e-commerce brands to connect directly with consumers through personalized communication experiences. This summer, Attentive launched an opt-in experience to provide Disney customers with a seamless opportunity to communicate with Disney Theatrical Productions via text and email via www.aladdinthemusical.com.
  • CAMP: CAMP creates experiential retail stores and online media destinations for the whole family. CAMP launched two collaborations with Disney this year, “Disney’s Mickey and Friends x CAMP: An Extra Big Adventure,” now in Dallas, while New York families enjoy the magical “Disney Encanto x CAMP” at its flagship store this season. festivals. These immersive and interactive collaborations travel to other CAMP locations every few months.
  • miko: Miko creates adorable robots that are playful learning companions for children in over 140 countries and used by parents, educators and technologists. Earlier this year, Miko collaborated with Disney Publishing to release animated storybooks featuring characters from the worlds of Disney and Pixar on its Miko 3 robot.
AR glasses used for Windows Into the Wild ©Disney

It looks like the future is quite bright for The Walt Disney Company in terms of technology and innovation – we can’t wait to see what these collaborations can produce!

Partners Statue in Magic Kingdom

Looking for more tech and theme park news? To see the new invention that shows the impact of COVID-19 on theme parks hereand you can check the Meet and greet GIANT characters who might be coming to Disney World here.

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Artificial Intelligence in Accounting Market, Updates, Growth Factors, New Trends, Size, Analytical Overview, Current and Future Growth Analysis, Forecast to 2028 https://ictnieuws.net/artificial-intelligence-in-accounting-market-updates-growth-factors-new-trends-size-analytical-overview-current-and-future-growth-analysis-forecast-to-2028/ Tue, 08 Nov 2022 12:09:03 +0000 https://ictnieuws.net/artificial-intelligence-in-accounting-market-updates-growth-factors-new-trends-size-analytical-overview-current-and-future-growth-analysis-forecast-to-2028/ Report customization and knowledge of Russian invasion of Ukraine and post-pre-Covid-19 covered in this report “Artificial intelligence in the accounting market“The 2022 Report provides in-depth information on the detailed observation of the main competitors with vital investigation, miniature and large-scale market patterns and situations, cost examination and insight into the economic situation during the gauge […]]]>

Report customization and knowledge of Russian invasion of Ukraine and post-pre-Covid-19 covered in this report

Artificial intelligence in the accounting market“The 2022 Report provides in-depth information on the detailed observation of the main competitors with vital investigation, miniature and large-scale market patterns and situations, cost examination and insight into the economic situation during the gauge period The Artificial Intelligence in Accounting Market report is an expert and detailed report focusing on essential and optional factors, pie slice, key sections and geographical examination. examines core members, major coordinated efforts, consolidations and acquisitions, as well as development models and business strategies by technology, component, mode of deployment, company size, application, region Players, Stakeholders and other participants of the global Artificial Intelligence in Accounting Market will be able to gain a strong position as this report benefits will surely be linked to their marketing strategies. The market analysis focuses on revenue and forecast by region/country and by application in terms of revenue and forecast for the period 2022-2028.

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Top Key Players of Artificial Intelligence in Accounting Market:

Key Players/Manufacturers: Microsoft, AWS, Xero, Intuit, Sage, OSP, UiPath, Kore.AI, AppZen, YayPay, IBM, Google, EY, Deloitte, PwC, KPMG, SMACC, OneUp, Vic.AI, Hyper Anna, Botkeeper, MindBridge Analytics, Bill.Com and others.

Market analysis and overview

The Artificial Intelligence in Accounting market size is estimated to grow from USD Billion in 2021 to USD Billion by 2028, growing at a CAGR of % during the forecast year 2021 to 2028.

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Market scope and market size

The main deliverables of this report are market statistics with detailed classifications and breakdowns by revenue. Artificial Intelligence in Accounting Market revenue split by type, application, and region. Players, stakeholders, and other participants in the global Artificial Intelligence in Accounting market will be able to gain a strong position as this report will surely benefit their marketing strategies. The market analysis focuses on revenue and forecast by region/country and by application in terms of revenue and forecast for the period 2016-2027. Detailed competitive landscape with identification of key players with respect to each type of market, in-depth market share analysis with individual revenues, market shares and company rankings.

Report further studies market development status and future of Artificial Intelligence in Accounting market trend across the globe. Further, it splits Artificial Intelligence in Accounting market segmentation by Drugs, Route of Administration, Distribution Channel, End-Users, Application, and Region for in-depth research and reveals market profile and outlook.

The report gives a simple breakdown of ferocious systems like Watchmans Five Powers Review, SWOT Survey and PESTLE Review to give a deeper understanding of the different viewpoints that help exploration discoveries. This extensive top-to-bottom survey of reports will provide supply, demand, and creation insights for every business feature. This global market report includes areas such as Asia-Pacific, Europe, East-Central, Africa, North America, and South America.

Segmentations of Artificial Intelligence in Accounting Market:

The main classifications are as follows:

By technology:

  • Machine learning (ML) and deep learning
  • NLP

By Component:

By deployment mode:

By business size:

  • Large companies
  • Small and medium-sized enterprises (SMEs)

Per application:

  • Automated accounting
  • Classification and approval of invoices
  • Fraud and risk management
  • Reports
  • Other (expenditure and audit management, and tax and revenue reporting)

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Global Regional Artificial Intelligence in Accounting Market Analysis:

  • North America: (United States, Canada, Europe, Germany, France, United Kingdom, Italy, Russia)
  • Asia-Pacific: (China, Japan, South Korea, Australia, Taiwan, Indonesia, Thailand, Malaysia)
  • Latin America: (Mexico, Brazil, Argentina, Colombia)
  • Middle East and Africa: (Turkey, Saudi Arabia, United Arab Emirates)

Main advantages of industry performers and shareholders

The Artificial Intelligence in Accounting statistical survey provides an overview of the objective industries, competitors, and other parts of the market for the various companies.

In the review, the size of the markets is assessed in terms of volume and value.

A promotion group can recognize a business among its competitors by carefully examining its situation, as shown in the Artificial Intelligence in Accounting market.

The research team offers detailed studies which will analyze the global Artificial Intelligence in Accounting market based on type, application, and regional market shares. The report covers global regions including North America: USA, Canada, Europe: Germany, France, UK, Italy, Russia, Asia-Pacific: China, Japan, South, India, Australia, China, Indonesia, Thailand, Malaysia, Latin America. . Americas: Mexico, Brazil, Argentina, Colombia, Middle East and Africa: Turkey, Saudi Arabia, United Arab Emirates and South Korea. We also split the report into industry types and application

This will give the client an in-depth understanding of the regional market share analysis of the global market, which will help him to formulate his own market entry strategy.

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Investigating the effects of the coronavirus and the Russian invasion of Ukraine:

The coronavirus pandemic and the Russian invasion of Ukraine have greatly affected the lives of individuals across the world. All other businesses and all markets have to fight on both fronts – welfare and monetary – and have to weather this forced downturn. With the financial crisis costing billions of dollars, there is a very broad assumption that the payback period will last up to a year from now.

The main way out of this round design is to plan for this pandemic disruption, and we accept that organizations will benefit incredibly from our market experiences.

About Us:

MarketDigits is a leading business research and advisory firm that helps clients tap into new and emerging revenue opportunities and areas, thereby assisting them in operational and strategic decision-making. At MarketDigits, we believe that the market is a small place and an interface between supplier and consumer, so our focus remains primarily on business research that includes the entire value chain and not just markets.

We provide the most relevant and beneficial services to users, which helps businesses to survive in this competitive market. Our detailed and in-depth market analysis meeting the strategic, tactical and operational data analysis and reporting needs of various industries utilizes state-of-the-art technology so that our clients gain better insights into the markets and identify lucrative opportunities and areas additional income.

Contact us:

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Here’s how artificial intelligence can improve the metaverse https://ictnieuws.net/heres-how-artificial-intelligence-can-improve-the-metaverse/ Fri, 04 Nov 2022 06:30:33 +0000 https://ictnieuws.net/heres-how-artificial-intelligence-can-improve-the-metaverse/ It is widely accepted that the “metaverse” is the future of our interactivity on the web. Thanks to the significant streamlining happening in the decentralized finance and blockchain space, we can now talk about it as an ecosystem of business potential driven by creators and occupied by all of us. We’ve seen metaverses before, from […]]]>

It is widely accepted that the “metaverse” is the future of our interactivity on the web. Thanks to the significant streamlining happening in the decentralized finance and blockchain space, we can now talk about it as an ecosystem of business potential driven by creators and occupied by all of us.

We’ve seen metaverses before, from Sony Playstation home to SecondLife. However, something is different now. We are seeing decentralization – a way to change the typical approach to web2-centric ownership on the web. This change in ownership structure means more people have more power over what they see, what they do and what they buy online.

Understanding this power and its potential has become a hotbed of political, philosophical and technical jargon, most often lending itself to frowning.

What we need to do is understand what is needed to elevate the “metaverse” project to reach its lofty potential. So to that end, let’s try to break down a use case for the metaverse. It is a multi-tenant “Web3” platform enabling curated content, e-commerce, interactive games and social-fi. We envision this by selling virtual land with specific tools to create content or e-commerce. All of this is connected through a huge interactive space, where your avatar can interact with other avatars while shopping, gaming, or just hanging out.

So how does this all fit together? Well, it turns out that we not only need hardware, developers, and blockchain to enable these “Web3” masterpieces, but we will also need artificial intelligence (AI).

Imagine going from a game to an NFT marketplace to an interactive store without retaining your preferences. It would be like navigating several major cities without a map. With every “content creator” needing to deliver services, offer payment solutions, drive e-commerce, or engage with a wider social audience, different levels of AI will need to be involved.

The AI ​​will ensure smooth operation by connecting all decentralized services to their respective nodes to function properly. This multi-service metaverse must use transparent AI by design as financial services, and complex decisions will be based on its results. The tokenization of these services would be impossible to manage without AI working behind the scenes to balance supply and demand.

We don’t need to look far ahead to see how these technologies fit together. Fundamentally, we need to realize that as the metaverse becomes a cross-border phenomenon, the need for conformity is imperative. AI is essential to ensure the interoperability and security of these technologies. The correct use of AI and its adoption is essential to maintain best practices and enter the metaverse.

Dr. Eva-Marie Muller-Stuler is the Partner – Data and AI at Ernst & Young and Andrew Schumer is the Director – Technology Consulting at Grant Thornton

Lily: How Dubai Metaverse Assembly gave us a glimpse of the future?

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University of South Dakota’s Artificial Intelligence Program Proves Attractive to People of All Careers https://ictnieuws.net/university-of-south-dakotas-artificial-intelligence-program-proves-attractive-to-people-of-all-careers/ Sat, 29 Oct 2022 14:30:00 +0000 https://ictnieuws.net/university-of-south-dakotas-artificial-intelligence-program-proves-attractive-to-people-of-all-careers/ VERMILLION, SD — Technology impacts every aspect of life and those who can develop and implement these systems are in high demand. The University of South Dakota’s computer science program has grown significantly in recent years. It is also the first university in South Dakota to offer an artificial intelligence program and attracts students from […]]]>

VERMILLION, SD — Technology impacts every aspect of life and those who can develop and implement these systems are in high demand.

The University of South Dakota’s computer science program has grown significantly in recent years. It is also the first university in South Dakota to offer an artificial intelligence program and attracts students from around the world.

The Computer Science program offers degrees in computer science, data science, and artificial intelligence while providing opportunities for internships and student groups.

SHU saw a 137% increase in the number of international students graduating this year, with almost all of the growth in the computer science program.

According to the US Bureau of Labor Statistics, the demand for computer scientists is expected to grow 21% by 2031 and the demand for data scientists is expected to grow 36% over the same period, both faster than the mean.

People also read…

The demand for artificial intelligence and machine learning experts is expected to increase by 71%.

KC Santosh is the chair of the computer science program and founded the artificial intelligence program at USD.

Simply put, artificial intelligence is the use of machine learning, data science, image processing, signal processing, pattern recognition, and data mining algorithms, to to name a few, to solve complex and difficult problems and large data sets to solve.

“As the world is data-driven, predictive modeling is another term, which businesses and the market would like to call an AI-driven tool,” Santosh said.

“Traditionally speaking, AI technologies and tools are used when there is a complicated task that can be costly and error-prone when done manually,” Santosh said.

Santosh said the need for artificial intelligence is everywhere and can be implemented in many ways. He said the ability to analyze and predict what to do next was important in many sectors such as health, education, transport, security, defence, agriculture and finance.

“Data arrives everywhere, it is collected over time, and regardless of the source of the data, there is a strong need for AI/data analysts to interpret information, make decisions and to visualize the results,” Santosh said. “USD Responds to Industry Demands with Academic AI Programs.”

Santosh is an AI expert and started with USD in 2015. Instead of working for massive tech companies like Apple, Meta, or Google, he wanted to be an academic.

He said university researchers don’t have restrictions like companies and can look 10 years into the future. For example, he said bitcoin; a cryptocurrency – based on a white paper – was invented in 2008 and many years later people created it.

“We are more ambitious,” he said.

Santosh said he sees the growth potential in the USD. He said the state was at least 10 years behind other states in terms of technological advancement. He began researching how to prepare the workforce using an artificial intelligence program to serve South Dakota. The program was officially announced in 2020 and was first implemented in fall 2021.

The school offers undergraduate and graduate programs in AI, as well as certificates for non-IT majors, called a Data Science Certificate.

AI is not just for computer scientists. The AI ​​certificate allows individuals to create computer tools to analyze their data that they produce in their respective career fields. Instead of having to hire a computer scientist to analyze the data, someone who has the certificate can do the job.

Santosh used a hat as an analogy. The main degree or area of ​​interest of a student is the hat and the RN certificate is a feather.

“Let’s say you’re a biology student, that’s the hat, the hat is already beautiful,” he said. “Having a feather in the hat makes you more powerful and confident in your work and you are different from others.”

Santosh said when running a Kaggle competition related to data science, 67% of entrants were not computer science majors. He said it shows that people are interested and motivated to learn data science, and it’s not difficult.

“Let’s build our state together, it’s not too late,” he said.

The graduate program currently has 159 students, and Santosh expects a minimum of 70 additional students in the spring of 2023.

“Learn the ins and outs of the latest technological developments including artificial intelligence, machine learning, computer vision, pattern recognition, data science, information retrieval, internet of things, cybersecurity and big data,” according to the USD website.

Suprin Nakarmi is in her second semester of the Computer Science graduate program. He was drawn to the university because of the specialization in artificial intelligence and the work done by Santosh.

Nakarmi said Santosh explains difficult concepts gracefully and wants to work with him. Most of the courses taken by Nakarmi are related to AI.

As a native of Nepal, Nakarmi said he liked how AI could be used in low- and middle-income countries to help with basic health checks and diagnostics.

“If the case is too serious, they can get help faster,” he said.

IT and AI are high-paying jobs, with a median salary above $100,000. The top five IT jobs and salaries are: Machine Learning Engineer at $142,859, Data Scientist at $126,927, Computer Vision Engineer at $126,400, Data Warehouse Architect at $126,008, and Software Engineer. algorithms at $109,313.

Santosh said a student graduating from the AI ​​program in December will work for a company earning $105,000 with a bonus of $10,500 each year. Another student will work for a company earning $129,000 with a bonus of $27,000 each year.

An internship offered $66,000 for three months of work for a student.

“Computer science graduates specializing in AI make more money than anyone else on average in the state of South Dakota,” Santosh said.

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Integration of artificial intelligence, growing popularity of digital solutions, increase in counterfeit products, increase in e-commerce sales https://ictnieuws.net/integration-of-artificial-intelligence-growing-popularity-of-digital-solutions-increase-in-counterfeit-products-increase-in-e-commerce-sales/ Fri, 28 Oct 2022 17:30:00 +0000 https://ictnieuws.net/integration-of-artificial-intelligence-growing-popularity-of-digital-solutions-increase-in-counterfeit-products-increase-in-e-commerce-sales/ DUBLIN, October 28, 2022 /PRNewswire/ — The “Global Brand Authentication and Protection Market: Analysis by Application (Medical, Automotive, Food and Beverage, Consumer Electronics and Others) and by Technology (Digital and Non-Digital) by Region Size and Trends with Impact of COVID-19 and forecasts until 2027″ report has been added to from ResearchAndMarkets.com offer. Research_and_Markets_Logo Global Brand […]]]>

DUBLIN, October 28, 2022 /PRNewswire/ — The “Global Brand Authentication and Protection Market: Analysis by Application (Medical, Automotive, Food and Beverage, Consumer Electronics and Others) and by Technology (Digital and Non-Digital) by Region Size and Trends with Impact of COVID-19 and forecasts until 2027″ report has been added to from ResearchAndMarkets.com offer.

Research_and_Markets_Logo

Global Brand Authentication and Protection Market in 2021 was valued at US$2.88 billion. The market should reach US$4.91 billion by 2027. The market is expected to flourish at a CAGR of 9.6% during the forecast period 2022-2027.

Brand Authentication and Protection is a business to protect and rescue the brand, maintain its originality and gain customer support. Due to increasing digitization, the main challenges faced by small or large brands are authentication and brand protection. These solutions are adopted so that counterfeiters are not able to infringe intellectual property or reproduce the goods, thus ensuring consumer confidence and maintaining brand reputation.

Authentication and brand protection solutions are used to fight counterfeits and build trust. Economic growth and the expansion of the manufacturing industry are expected to increase the adoption of authentication and brand protection solutions in many industries such as pharmaceuticals, automotive, food and beverage, electronics, etc

Moreover, rising number of counterfeit products due to growing e-commerce penetration is expected to drive the demand for brand protection solutions throughout the forecast period 2022-2027.

Market Segmentation Analysis:

Per application:

The report presents the bifurcation of the authentication and branding market into five segments: medical, automotive, food and beverage, consumer electronics and others. In 2021, the food and beverage segment led the global brand authentication and protection market, accounting for approximately 35% market share. As incidents of food fraud proliferate, consumers, businesses and regulators are becoming more aware of the problem and taking action.

Due to global distribution and low cost production techniques, producers try to earn more money, which also leads to counterfeit food and beverages. The global pandemic has also made food fraud more prevalent as more people buy their groceries online and through third-party vendors. Thus, the market for food and beverage authentication and brand protection would witness a boom in the coming years.

By technology:

On the basis of technology, the report divides the market into two segments: digital and non-digital. The digital segment is expected to grow at the highest CAGR of around 10%. As data collection technology improves and becomes more accessible to consumers via the ubiquitous smartphone, more brands may be able to truly integrate reciprocal interaction with consumers via smartphones.

Nowadays, more and more smartphones are capable of collecting high-resolution images and code with native and downloaded applications for digital interaction with products and manufacturers. Therefore, the booming digital brand protection services will expand in the coming years.

By region:

North America led the market in 2021 with nearly 34% global market share. Increased brand awareness through North America The region is one of the key drivers for the growth of the brand authentication and protection market. The United States is the largest authentication and brand protection market in the world. The market is growing due to increased government enforcement of strict anti-counterfeiting rules and regulations as well as increasing emphasis on product and brand integrity protection.

Asia Pacific is expected to grow at the highest CAGR of 11% during the forecast period. Asia Pacific The brand authentication and protection market is extremely fragmented, with major local and regional players offering a wide range of solutions to companies seeking to enter the market.

Authentication and Brand Protection Market Dynamics:

Growth drivers:

One of the most significant factors impacting the brand authentication and protection market is the growth of the food and beverage industry. Food and beverage manufacturers are seeking brand protection solutions following the introduction of new supply chain laws, and increased spending is leading to an increase in counterfeit products. The growing number of food scandals has alerted consumers, industry to tackle the problem of counterfeit products.

Therefore, as food is consumed by people, its authenticity must be maintained, leading to the rise of authentication and brand protection services in the food and beverage industry. Additionally, the market has witnessed growth in recent years, owing to factors such as growth in pharmaceutical industry, increase in industrial production, escalation in e-commerce sales, increase in counterfeit products, etc.

Challenges:

However, the market has faced some challenges in particular, lack of awareness, increase in counterfeit products, etc.

Companies on a smaller scale or in underdeveloped regions do not prefer authentication and brand protection solutions because consumers are not very aware of them. Thus, the lack of education regarding these techniques would be a major problem in the brand authentication and protection market.

Tendencies:

The market is expected to grow at a rapid rate over the forecast period, owing to various latest trends such as increasing use of blockchain technology solutions, integration of artificial intelligence, advancement of solutions, popularity increasing number of digital solutions, etc.

Through the use of machine learning and artificial intelligence, programs can quickly and automatically update their search criteria without requiring a staff member to sort through lists of data to find patterns. Thanks to this procedure, the security services are constantly updated and improved in order to become more efficient and almost fully automated. Thus, the integration of AI expands the market for brand protection and authentication.

Competitive Landscape:

The global brand authentication and protection market is fragmented with numerous players holding an insignificant market share.

Companies provide authentication and brand protection solutions to protect the brand value of the product. Some of the strategies of the major players in the authentication and brand protection market are expansion, new launch, partnerships, mergers, acquisitions, and collaborations.

For example, in January 2020Authentic Vision has extended its partnership with HDMI Licensing Administrator, Inc. to extend the use of Authentic Vision’s authentication technology to consumers to identify certified HDMI cables with a quick and easy scan of the certification label using the HDMI authenticator app.

In January 2019, AlpVision has joined the International Anti-Counterfeiting Coalition (IACC). AlpVision is an active part of the IACC and is dedicated to helping brand owners combat the growing problem of counterfeiting by offering its advanced invisible digital authentication solutions.

Market dynamics

Growth engines

  • Growth in the food and beverage industry

  • Growth in the pharmaceutical industry

  • Growth in the manufacturing industry

  • Increase in e-commerce sales

  • Rise in counterfeit products

  • Supportive government initiatives

Challenges

Market trends

  • Growing Use of Blockchain Technology Solutions in Brand Protection

  • Integration of artificial intelligence in trademark protection

  • Solution advancement

  • Growing popularity of digital brand authentication and protection solutions

Key Players of the Global Brand Authentication and Protection Market are:

  • AlpVision AG

  • Authentic vision

  • Applied DNA Sciences

  • Eastman Kodak

  • From the street

  • Center Grafico

  • Giesecke Devrient GmbH

  • 3M company

  • authenticix

  • Avery Denison

  • Centro Grafico DG SPA

  • Arjo Solutions

  • Wisekey

For more information on this report, visit https://www.researchandmarkets.com/r/ljkwb6

Media Contact:

Research and Markets
Laura Woodsenior
press@researchandmarkets.com

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Nifter™ Enters Negotiations with Amazon as AI Provider for Nifter’s NFT User Experience and Recommendation Engine https://ictnieuws.net/nifter-enters-negotiations-with-amazon-as-ai-provider-for-nifters-nft-user-experience-and-recommendation-engine/ Thu, 27 Oct 2022 17:00:00 +0000 https://ictnieuws.net/nifter-enters-negotiations-with-amazon-as-ai-provider-for-nifters-nft-user-experience-and-recommendation-engine/ ClickStream Corp. BEVERLY HILLS, Calif., Oct. 27, 2022 (GLOBE NEWSWIRE) — via NewMediaWire — ClickStream Corp. (OTC PINK:CLIS), a technology company focused on developing platforms that disrupt conventional industries, has entered into negotiations with Amazon to implement an AI-based recommendation and user experience engine for the NFT market from Nifter. Similar to the AI ​​engines […]]]>

ClickStream Corp.

BEVERLY HILLS, Calif., Oct. 27, 2022 (GLOBE NEWSWIRE) — via NewMediaWire — ClickStream Corp. (OTC PINK:CLIS), a technology company focused on developing platforms that disrupt conventional industries, has entered into negotiations with Amazon to implement an AI-based recommendation and user experience engine for the NFT market from Nifter. Similar to the AI ​​engines of Spotify, Apple and big tech, Nifter™ will allow art collectors to create personalized experiences based on their interests such as sports memorabilia, 3D art, trading cards, musical genres and more.

“In addition to being a publicly traded platform, this partnership gives Nifter the competitive advantage of providing an unparalleled user experience that will increase conversation rates, adoption, and sales,” says Carl “Supreme” Harte. – creative director of ClickStream.

ABOUT NIFTER™
Nifter™ is a non-fungible token (NFT) marketplace that allows artists and athletes to create, sell and discover unique NFTs on the Nifter™ marketplace. NFTs are digital tokens stored on a blockchain that can record ownership. The Nifter™ business model eliminates red tape and allows artists to monetize directly.

ABOUT CLICKSTREAM CORPORATION
ClickStream is a technology company developing digital platforms HeyPal™ , Nifter™ VegasWinners and The Longshot Report.

SAFETY STATEMENT
This press release contains forward-looking statements which can be identified by words such as “believes”, “expects”, “potential”, “plans”, “suggests”, “may”, “should”, “could”. “, “intends to”, or similar expressions. Many forward-looking statements involve known and unknown risks, uncertainties and other factors that may cause actual results to differ materially from future results. understood by these statements. These factors include, but are not limited to, our ability to continue to improve our products and systems to address industry changes, our ability to expand our customer base and retain existing customers , our ability to compete effectively in our market segment, lack of public information about our company, our ability to raise sufficient capital to fund our business, operations, inability to continue our operations and a limited public market for our common stock, among other risks. Many factors are difficult to accurately predict and are generally beyond the company’s control. Forward-looking statements speak only as of the date on which they are made, and we undertake no obligation to update forward-looking statements to reflect circumstances or events that occur after the date on which the forward-looking statements are made.

Investor requests:
Michael Handelman
CFO
ClickStream Corporation
mhandelmangroup@gmail.com

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