Page 125 - ALEF EDUCATION PR REPORT - AUGUST 2025

8/12/25, 9:32 AM Critical Tech Projects, Tools And Trends Overshadowed By The AI Boom
10. Workflow-Embedded Analytics

Agentic AI sounds powerful, but most deployments are just assistants without context. If agents can’t
access enterprise workflows, governed data and real-time signals, they can’t plan or act. They can only

chat. The overlooked tool? Workflow-embedded analytics. Without it, AI stays impressive, not
impactful. - Mike Capone, Qlik

11. Cloud Migration

Too many companies chase AI without first moving to the cloud, which is vital for AI success. It’s
similar to installing a jet engine in a car—AI can only optimize a system that is already built to handle its

data needs, which legacy, on-premises solutions cannot do. Cloud-enabled intelligent automation
delivers instant efficiency gains and secures long-term competitive advantages. - Martin Taylor, Content
Guru

12. Zero-Standing-Privilege Access Control

Investing in better access control using zero standing privilege is critical regardless of AI commitments.

AI not only creates new risks, but it also amplifies many existing risks. A strategy based on zero
standing privilege ensures secure outcomes in both cases. This is important, because many AI initiatives
make the risk profile of an enterprise much worse. - Atul Tulshibagwale, SGNL.ai

13. Authenticating Digital Content

One critical technology factor too many companies overlook in their AI rush is image and data

authenticity. As AI makes it easier to fake images, videos, businesses and people, authenticating content
at the source before it enters into business operations is paramount. Enterprise workflows increasingly
rely on digital content, and without veracity in that content, businesses will grow more vulnerable. -

Jeffrey McGregor, Truepic

14. Edge Computing For Remote Operations

While AI dominates headlines, many companies overlook edge computing, which is a critical tool for
real-time decision-making in remote environments. In space, satellites process data onboard before
transmitting it to Earth, reducing latency and bandwidth use. Earth-based industries that operate in

remote or mobile settings—especially energy, agriculture and logistics—can apply this tech to enhance
efficiency. - Shelli Brunswick, SB Global LLC

15. Local, CPU-Powered Inferencing

AI hype says you need cloud-scale infrastructure and racks of GPUs. Reality check: Most edge sites just
need answers fast, and the same tech used in the cloud isn’t needed at small sites. CPUs can handle real-

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