Precisely · Company blog · 12 a month · 12 posts since Oct 14, 2026
Nov 10
Key Takeaways Master data automation works best when ownership shifts from IT to the business teams closest to the data, so master data experts can focus on governance instead of data entry.
Nov 5
Key Takeaways A well-defined security methodology, encoded as a reusable AI skill, can run reconnaissance and analysis at a scale no manual review matches, without adding tools, licenses, or headcount.
Nov 4
Key Takeaways Precisely is named a Major Player among 13 vendors in the IDC MarketScape: Worldwide Intelligent Customer Communication Management 2026 Vendor Assessment.
Nov 4
Key Takeaways Automation is now standard in SAP® environments, with 61% of organizations using it and best-of-breed strategies up 14 percentage points in a single year.
Oct 30
Key Takeaways Connecting an AI agent to customer communications has historically meant building custom integrations against APIs, and in regulated industries your team inherits the burden of proving control, tenancy, and auditability.
Oct 28
Earlier this year, I was at a conference talking with several CDOs about how they were preparing their data governance programs for AI. Many of these were advanced programs.
Oct 26
Key Takeaways Precisely AI Studio lets you try ready-made apps, agents, and skills on real data without complex integrations.
Oct 21
A career in technology can take many paths when it’s shaped by curiosity, bold decisions, and a willingness to solve meaningful problems.
Oct 20
Key Takeaways Connecting AI assistants to SAP requires custom integration work that must be rebuilt for every new AI platform the organization adopts.
Oct 16
Key takeaways The Precisely Platform brings data management capabilities together on one shared metadata and semantic foundation, with general availability planned for early 2027.
Oct 15
Key Takeaways AI is the first technology shift where getting the technology right isn’t enough, because the hardest part now sits in the data underneath it. People used to cover for data gaps with judgment.
Oct 14
Key Takeaways AI agents fail in production not because the models are wrong, but because the data underneath them is ungoverned, incomplete, or inaccessible to the agent in the first place.
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Product and company (4), AI and agents (4), Security (1) in the last six months.
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Listed on Blogs Nov 11, 2026. No changes to its feed, status or cadence since.
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