One company is approving a pilot of an AI agent that used to only answer questions. Now it sends emails to customers, adjusts inventory, or approves minor payments without anyone checking it line by line. The question that was asked in the room was the same as always:...
Ideas that drive transformation
Explore trends, strategies and insights that are shaping the future of enterprise technology. In our blog we share knowledge, case studies and best practices to help you make smarter, safer decisions aligned with your business goals.
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How to prevent your data lake from turning into a data swamp: 6 essential controls?
A data lake becomes a data swamp when it accumulates information without cataloging, ownership, quality controls, lineage, permissions, or a lifecycle. To avoid this, six operational controls are required: ownership, metadata, quality by layers, traceability, security, and...
Corporate help desk: how to support employees across multiple locations and hours
A multi-site corporate help desk should centralize attention, but not treat all users equally. It requires coverage by time zone, omnichannel channels, endpoint inventory and context, automation, remote resolution, L1-L3 scaling, and support in...
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The advisor who doesn’t know anything about technology no longer has a say: why technical expertise stopped being optional at the council table
For decades, the composition of a board of directors was determined by a relatively stable combination of profiles: one financial, one legal, one industry-related. That combination reasonably covered the risks that a board had to monitor....
Data lake, data warehouse, and lakehouse: what each solves and when to choose it
A data lake prioritizes flexibility to store diverse data; a data warehouse optimizes structured information for BI and reporting; a lakehouse combines flexible storage with governance, transactions, and advanced analytics. The right choice depends on...
What should a board of directors ask before approving a data or AI project?
Approve a project and ensure it is executed properly are two separate responsibilities, although in most boards they are treated as if they were the same. The first responsibility falls on the management team. The second responsibility falls on the board — and in...
Lakehouse architecture: how it unifies analytics and AI on a single platform
A lakehouse architecture unifies analytics and AI by sharing a governed data layer, transactional table formats, and specialized compute engines for BI, streaming, and machine learning. Its value lies not in “putting everything in a lake,” but in reducing...
The hidden costs of artificial intelligence that can affect the ROI
The real cost of artificial intelligence does not end with licenses, models, or tokens. Data, integration, RAG infrastructure, security, monitoring, follow-up work, and adoption can substantially modify the TCO. To protect the ROI, a company must...
What is system hardening and why is it the first line of defense for your infrastructure?
Hardening is the process of removing unnecessary functions, correcting unsafe configurations, and applying controls to reduce the attack surface. It should cover servers, endpoints, the cloud, networks, identities, and applications. It does not replace patching, EDR, or...
Why do your inventory report and sales report never match? The Sell In/Sell Out case
A mass consumer customer had a problem that, viewed from the inventory report, made no sense: a full warehouse, and at the same time, constant shortages at the point of sale. Product left over on one side of the chain and missing on the other at the same time. The...
Proof of concept, pilot, or productive implementation of AI: how much to invest in each stage
A proof of concept should fund evidence; a pilot, operational validation; and production, reliability, safety, and scale. The mistake is to fund all three as if they were the same project. The budget should grow only when data, performance, adoption,...
How to calculate the ROI of modernizing the Service Desk?
The ROI of modernizing the Service Desk is calculated by comparing the total investment with five monetized benefits: lower cost of care, recovered productivity, fewer escalations and visits, reduced recurring incidents, and avoided risk. The analysis should use...
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