Yet, the reality of AI deployment is much more limited. Gartner research found that organizations commonly experiment with AI but struggle to make the technology a part of their standard operations. Gartner predicts that it will take until 2025 for half of organizations worldwide to reach what Gartner's AI maturity model describes as the "stabilization stage" of AI maturity or beyond.

MONTRÉAL, Nov. 22, 2021 /CNW Telbec/ - The digital transformation, which has only gained speed during the pandemic, is unfolding in all sectors of our society and economy. Personalized financial product and service offerings, made possible in part by artificial intelligence (AI) systems, benefit both consumers and financial institutions, but, for the latter, they also come with ethical, legal and reputational risks. The Autorité des marchés financiers (the "AMF") believes these are important issues requiring its consideration. The AMF has therefore decided to initiate a serious dialogue about the responsible use of AI in the financial industry. To assist it in meeting this challenge, the AMF sought input from Marc-Antoine Dilhac, Associate Professor of Ethics and Political Philosophy at the Université de Montréal, and a key contributor to the work that led to the launch, in 2018, of the Montreal Declaration for a Responsible Development of Artificial Intelligence (the "Montreal Declaration").

SAN DIEGO, Nov. 16, 2021 (GLOBE NEWSWIRE) -- GBT Technologies Inc. (OTC PINK: GTCHD) ("GBT" or the "Company"), is developing machine learning based software solutions to include integrated circuit design, verification and manufacturing aspects under one platform, enabling faster design, higher performance, and silicon yield. Based on its recent patented technology, GBT has started the development of a comprehensive software solution to address advanced nanometer challenges under one design environment. The software platform (internal code name MAGIC II), will address a wide variety of IC design aspects among these are functional verification, geometric design-rules correctness, power management, reliability and design for manufacturing (DFM). The platform is targeted to support analog, digital and mixed signal designs, enabling efficient scalability and process migration. GBT's ML technology plans to be implemented to ensure fast performance; especially, with today's very large ICs in the domains of AI, IoT and data processing.

A new book shows business leaders how artificial intelligence is actionable technology that companies are quietly implementing to improve customer experience and reduce costs. Evan Ryan, the founder of the expanding artificial intelligence (AI) consulting firm Teammate AI is bringing all the benefits of AI to small and medium-sized businesses. His book, "AI As Your Teammate: Electrify Growth without Increasing Payroll," demystifies AI and shows that it is not about taking humans out of business. The book is available on November 30, 2021. "AI is the fastest, easiest way to scale a business, but it is also a big mystery to most business owners," said Ryan. "I recently read in Fast Company that AI is no longer just for big organizations. It is a revolution for all."

Zest AI, a leader in software for credit underwriting, today announced it has been selected as an honoree in Fast Company's inaugural 2021 Next Big Things in Tech Awards. The awards recognize the companies and technologies that promise to redefine their industries and create a positive impact for consumers, businesses and society at large in the next five years. Specifically, Zest AI was recognized for its Fairness Kit, a set of software applications created in response to demand from banks and credit unions looking to reduce bias from consumer lending. Zest's patented machine learning-based solution automatically optimizes credit underwriting models for both accuracy and fairness, creating real options for the first time for lenders that want to close the racial approval rate gap in consumer credit. "We are honored to have our fair lending efforts recognized by Fast Company for this award," said Mike de Vere, CEO of Zest AI. "Traditionally, lenders have had to make trade-offs between accuracy in risk prediction and minimizing disparate impact. Through our technology, these lenders can make more accurate decisions and say yes to more people who might have struggled to get affordable credit. This award further endorses our mission of making fair and transparent credit available to everyone."

What does Google's parent company Alphabet want with robots? Well, it would like them to clean up around the office, for a start. The company announced today that its Everyday Robots Project -- a team within its experimental X labs dedicated to creating "a general-purpose learning robot" -- has moved some of its prototype machines out of the lab and into Google's Bay Area campuses to carry out some light custodial tasks. "We are now operating a fleet of more than 100 robot prototypes that are autonomously performing a range of useful tasks around our offices," said Everyday Robot's chief robot officer Hans Peter Brøndmo in a blog post. "The same robot that sorts trash can now be equipped with a squeegee to wipe tables and use the same gripper that grasps cups can learn to open doors." These robots in question are essentially arms on wheels, with a multipurpose gripper on the end of a flexible arm attached to a central tower.

From commerce, finance and agriculture to self-driving cars, personalised healthcare and social media – advancements in artificial intelligence (AI) unlock countless opportunities. New applications promise to improve the quality of people's lives throughout the world, but at the same time, raise a number of societal questions. A joint panel discussion of the German National Academy of Sciences Leopoldina and the Korean Academy of Science and Technology (KAST) explores AI technologies, their benefits and their challenges for society. Virtual panel discussion of the German National Academy of Sciences Leopoldina and the Korean Academy of Science and Technology „Realizing the Promises of Artificial Intelligence" Thursday, 25 November 2021, 8am to 9am (CET) Online Following opening remarks from the President of the Leopoldina, Prof (ETHZ) Dr Gerald Haug and Prof Min-Koo Han, PhD, President of the KAST, legal scholar Prof Ryan Song, PhD, Kyung Hee University, Seoul/South Korea, will provide an introduction into the topic. Subsequently, computer scientist Prof Alice Oh PhD, KAIST School of Computing, Daejeon/ South Korea, and Member of the Leopoldina Prof Dr Alexander Waibel, Karlsruhe Institute of Technology/Germany and Carnegie Mellon University, Pittsburgh/USA, will provide input statements for further discussion.

As machine learning becomes a more integral part of running businesses, the model-building process still requires iteration and experimentation. Comet has created an entire platform to get models from idea to product, and today the company announced a $50 million Series B. The investment comes on the heels of the company's $13 million A round in April. OpenView led the round with participation from existing investors Scale Venture Partners, Trilogy Equity Partners and Two Sigma Ventures. The company has now raised almost $70 million, according to Crunchbase data. Company co-founder and CEO Gideon Mendels said that the product works on any platform from a laptop to the cloud to an on-prem cluster.

IndyGeneUS AI (pronounced "indigenous", a South Africa Founder Institute portfolio company) opens its seed round with a $1.5M investment from South African based venture capital company IsimoVest Venture Capital Partners in addition to an undisclosed amount from a South African angel investor. Located in Cape Town, IsimoVest is a Pan-African venture capital company that specializes in early stage, high-potential technology ventures that will likely provide highly impactful corporate social investment solutions. As a cutting-edge investment firm, IsimoVest is dedicated to economically empowering communities for the benefit of Africans. To that end, the firm will support IndyGeneUS AI in establishing its sequencing facility in Cape Town and establishing local key strategic partnerships. IndyGeneUS AI is developing a Multiomic data analysis and management platform that can detect new signature sequences such as biomarkers or polygenic risk scores by integrating "omics" data, meta data and textual information such as Electronic Healthcare Record data.

The first quarter delivered home-sale profits that were more than twice as high as anticipated, the company said. Zillow expected to make money primarily from transaction fees and from services such as title insurance--not from making a killing on the flip. The company's algorithm, which was supposed to predict housing prices, didn't seem to understand the market. Zillow was also behind on its target for home purchases. By the summer, it had the opposite problem, the company later acknowledged.