Successful Business Adoption of AI Requires Soft Skills
MBAs educated today using methods from the past may not be prepared for jobs of the future.
MBAs educated today using methods from the past may not be prepared for jobs of the future.
The bulk of supermarket purchases are still primarily made in-store; personalized in-store shopping experiences are the next logical frontier for digital transformation.
Combining intelligent streaming analytics with real-time digital twins for aggregate analysis offers several benefits in a variety of real-world applications.
The growing power of computers combined with advances in AI make the fast-learning virtual worker a reality.
A systematic AI approach used against fraud, waste, and abuse not only uncovers specific instances, but often provides additional insights.
The governing regulations over the use of data and who has access to it will change the landscape of how we move about in the online world.
The combination of HCI and edge computing will give AI the tools to evolve to the next level, enabling smarter and faster decision making for organizations.
For robotics applications to achieve high availability and reliable performance, the industry must first establish much higher standards of observability.
Advanced graph analytics provides deeper insights, complementing BI, and helps organizations preempt and prevent potential fraud while protecting customers.
AI is an integral part of Digital Process Automation, and the potential of AI optimizations for on-chain (Blockchain transactions) and off-chain data (IoT, customer, etc.) are tremendous.