Factors Driving the Need for Integration and Obstacles to Overcome
IBM's Matt Roberts discusses the factors driving the demand for integration, common obstacles to success, and how the right integration technologies complemented with AI can help.
IBM's Matt Roberts discusses the factors driving the demand for integration, common obstacles to success, and how the right integration technologies complemented with AI can help.
In this Q&A interview, Aible and Intel provide insights not only on how to avoid AI project failures but how they deliver guaranteed results from AI within 30 days.
In this week's real-time analytics news: Cloudera announced the launch of Cloudera Data Platform (CDP) One, an all-in-one data lakehouse SaaS offering for self-service analytics and exploratory data science on any type of data.
The proliferation of 5G wireless networks will encourage communities of AI application developers to create new solutions that take advantage of 5G speed and low latency.
Working towards a lower carbon future will demand that moves be made around operational efficiency, improved production tactics, and minimized waste – all of which can be accomplished with Cognitive AI solutions.
Low-code platforms can serve as catalysts for enterprises to seamlessly leverage a variety of applications and technologies that help businesses gain a competitive edge.
Ushering in a new era for behavioral analytics applied to fraud, fraud ring detection, customer experience, and synthetic identity fraud Introduction Digital identity fraud is growing, and those committing it are changing. There is an increase in organized efforts by sophisticated fraud rings as the scale and scope of fraud opportunities has grown. These organized […]
The work evaluates ethical AI systems in six core areas, including enhancing middle-skill work with human-like robotic tools, reducing misinformation through AI, smart cities, adding ethical considerations to public camera AI technologies, using AI to improve racial equality, and living with AI in day-to-day life.
In this week's real-time analytics news: NVIDIA announced the general availability of NVIDIA AI Enterprise 2.1, its end-to-end AI and data analytics software suite.
The global API management market is predicted to grow at a Compound Annual Growth Rate (CAGR) of 32.9% from 2022 To 2032.