Joe McKendrick

To meet consumer demands for instant actions, organizations will need to resort to what Accenture calls “smartcuts,” which involve making quick, intuitive, savvy choices to achieve a goal.

Until quantum computing becomes mainstream, AI and machine learning may offer paths to discovery with existing systems and solutions.

AI can speed analysis and the assembly of forecasts, and is being employed at the weather scale, which is beyond nowcasting, extending forecasts into the next couple of days.

MIT Sloan Management Review explores Walmart’s real-time, 3D shopping experience noting its benefits in multiple areas.

Survey finds that the increased interest in generative AI and predictive AI, as well as the need to support traditional analytical workloads, is leading to a massive increase of data sprawl across industries.

The survey cites the potential benefits of pairing quantum computers with generative AI for solving problems in areas like health, environment, and beyond.

As AI continues to simplify and automate many of the foundational tasks within data science, the field may face a reckoning on what it truly means to be a data scientist in the age of intelligent automation.

Traditional techniques of deploying and managing technology do not work for today’s fast-paced business development and delivery tempo.

Personhood credentials are intended to prove a person’s identity is that of a a real person, without revealing any further information about the person’s identity. They rely on the fact that AI systems still cannot bypass state-of-the-art cryptographic systems or pass as people in the offline, real world.

Many supply chain organizations aim to make their operations smarter by investing in generative AI, data analytics, automation, digital twins, machine learning, Internet of Things, and more.

Financial services and healthcare organizations are leading the way with the adoption of AI. And many companies across all industries are building real-time machine-learning applications.

Before plant managers implement an AI-driven approach, they must take a number of steps starting with meeting the infrastructure needs of AI.