Meta Will Need to Shed its Consumer-centric Image to Gain Ground in Enterprise AI

A woman with long, dark hair wearing a gray blazer, smiling at the camera.
R. Bhattacharyya

Summary Bullets:

• Meta will need to shed its consumer-centric image to gain traction in the business market, even if it only targets smaller organizations.

• Convincing organizations that they can trust Meta to secure personal information and corporate intellectual property will take time and effort.

On Monday September 28, 2026, Meta announced plans to enter what is already a crowded enterprise AI market. It will develop Meta Enterprise Platform, a collection of tools and services that will help business customers implement their own AI strategies. Few details were shared other than the platform will incorporate Muse agent, Meta Business Agent, Muse API, Muse Code, and other solutions.

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Enterprise Data and Analytics Market Outlook for 2016

B. Shimmin
B. Shimmin

Summary Bullets:

• The enterprise data and analytics marketplace has been struggling to hold onto traditional philosophies of control, governance, and discipline, while simultaneously looking way ahead to a future that’s free from such constraints.

• How will that play out over the coming year? We think IoT will emerge as a service, data preparation will permeate data discovery tools, and data itself will form a new marketplace.

The end of each year always seems to race toward us, the closer we get the faster it approaches. Within the U.S. perhaps that’s because we always have a stack of our major holidays in the last month and a half of the year. Perhaps it’s just that the new year, like any good waypoint on a journey, forces us to take stock of where we’ve been and contemplate what lies beyond that arbitrary horizon. And suddenly we’re living two lives at once, which can feel pretty crowded and frenetic.

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Mixing the Perfect Big Data Elixir for IT Professionals in 2014

Brad Shimmin
Brad Shimmin

Summary Bullets:
• How should enterprise IT go about supporting and maybe even driving data and analytics projects in 2014?
• Familiarity with the likes of YARN, NoSQL, Python, ETL among many tools and tactics will help IT succeed with big data both this year and in the years to come

Welcome to 2014. Time for a fresh start and of course a look at how the enterprise data and analytics market will evolve as the new year unfolds. Frankly, you don’t have to look very far on the ol’ interweb to see numerous predictions and prognostications from yours truly and many, many others. Here’s a short list for those keeping score at home: Continue reading “Mixing the Perfect Big Data Elixir for IT Professionals in 2014” →