9.8K
MEYour AI models are only as good as the data they’re trained on.
To see how trustworthy data actually impacts AI accuracy with @ibm watsonx.data, comment DATA and I’ll send you the link to check it out 👇
#IBMPartner
@meglovesdata
#Watsonxdata
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DAI was reading through some anonymous feedback from AI - and there are so many complaints!!! #IBMPartner
In most cases, the issue isn’t the model; it’s the data foundation.
If you want to minimize complaints from your AI - explore how @ibm's watsonx.data can help: https://ibm.biz/Bdpjmh
@datacated
82
OVAI delivers more when it’s orchestrated with purpose. 🤖
With IBM watsonx Orchestrate and Ovations as your IBM Business Partner, you can connect AI agents across your IT ecosystem, embed intelligence into critical workflows, and scale productivity across functions, from HR to finance and beyond.
Accelerate development with IBM’s infrastructure.
Unlock Partner Plus GTM advantages.
Open new revenue opportunities through resell and services.
Launch faster with the developer toolkit, while integrations are handled with confidence.
This isn’t just AI adoption. It’s orchestration that drives real business impact. Ready to build smarter with IBM watsonx Orchestrate? Let’s talk.https://https://lnkd.in/dZ57yHN7
@ovationsgram
2.2K
THFor two years the AI race was simple: bigger model wins.
More parameters. More compute. More data. Whoever builds the largest, most powerful model leads the pack.
That era just ended.
IBM’s Principal Research Scientist put it plainly: “We can’t keep scaling compute, so the industry must scale efficiency instead.”
The new race isn’t about who has the biggest model. It’s about who can do the most with the least. Small models that run on your laptop. Models fine-tuned on specific business data. Models that work at the edge — on your device, without a data centre, without a cloud subscription.
The biggest breakthroughs are now happening in the post-training phase — where models are refined with specialised data rather than just scaled up. This means a small company with the right domain data can now build an AI tool that outperforms a giant’s general model in their specific field.
That’s the opportunity most people are missing.
You don’t need to build the next GPT. You need to build the most useful AI for one specific problem — in your industry, for your customer, solving your exact workflow. That’s where the next wave of value gets created.
IBM’s Distinguished Engineer said it best: “We’ve moved past the era of single-purpose agents. Agents can now plan, call tools and complete complex tasks.” The tools to build on top of that are cheaper, faster and more accessible than they’ve ever been.
The window to get ahead of this is right now — before efficiency AI becomes as crowded as generative AI already is.
👇 What’s the one problem in your industry AI could solve better than anyone currently is?
#AI #IBM #AIStrategy #FutureOfAI #AITools Efficiency SmallBusiness AIEducation Entrepreneurs AgenticAI AINews TechTrends BuildWithAI Innovation BusinessAI
@the.smartbot.club
143
OFFor Business Analysts:
Used AI-powered requirement analyzers (like IBM Watson or Notion AI) to refine user stories? → Shows you reduce ambiguity fast.
Leveraged AI data summarization (e.g., Power BI + Copilot) to turn raw feedback into actionable insights? → Proves analytical agility.
For Scrum Masters & Agile Coaches:
Ran retrospectives with AI sentiment analysis (via tools like Parabol or Miro AI)? → Demonstrates data-driven team health tracking.
Automated backlog grooming using AI task classifiers? → Signals efficiency + modern workflow fluency.
THE KEY?
Don’t just list “Familiar with AI.”
Show impact:
“Reduced requirement clarification time by 30% using AI-assisted user story mapping.”
“Improved sprint predictability by analyzing velocity trends with AI dashboards.”
At MB InfoTech, we teach you to use AI as a force multiplier, not a buzzword, so your resume reflects real, relevant, 2026-ready skills.
#AIforBA #scrummaster #TechResumeTips #BusinessAnalysis #agileai officialmbinfortech
@officialmbnetwork
118
AUInput → Process → Output: AWS spotlights Amazon Bedrock Data Automation’s multimodal power to turn unstructured data into actionable insights.
📥 Input: unstructured data ⚙️ Process: Bedrock Data Automation (multimodal) 📊 Output: actionable insights.
Use this as a workflow template for integrating multimodal processing into your pipeline.
Comment Wflow for the logic diagram. ⬇️
@auto.shorts.daily
119
IAAI Won’t Replace Power BI Developers… But This Will.The Real Threat to Power BI Jobs in 2026.
AI is changing Power BI — but not the way most people think.
Basic dashboards, simple DAX, and report building are getting automated.
The real demand?
✔ Data modeling
✔ Performance optimization
✔ BI architecture
The shift is clear:
From dashboard creators → data architects
The real question is not “Will AI replace me?”
It’s: “Am I upgrading fast enough?”
💬 Comment DAX and I’ll share platform link to practice DAX.
#businessanalyst #datanalytics #powerbi #businessintelligence #microsoftfabric
PowerBI DataAnalytics BusinessIntelligence AI MicrosoftFabric
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@iamwasimparwez
26.0K
JEI interviewed CVP of Azure Databases at @microsoft , Shireesh Thota, who oversees ALL operational databases at Microsoft, and here’s what he said:
↳ Yes, learn SQL. AI doesn’t replace your need to understand how to efficiently get data out of a database. It makes that skill more important.
↳ AI hallucinations are largely a data quality problem. Context matters more than quantity, so if your model can’t tell the difference between an SSN and a credit card number, it will hallucinate.
↳ AI agents need state, persistent memory that tracks context, actions, and data across steps, to function. The quality of your data infrastructure is now directly tied to how well your AI actually performs.
Is your data stack ready for AI agents or are you still figuring it out? So many interesting convos happening at FabCon SQLcon this year!
#MicrosoftPartner #FabCon #SQLCon
@jessramosdata
1
TH🚨 𝗠𝗮𝗿𝗰𝗵 𝟭𝟳 𝗘𝘅𝗰𝗵𝗮𝗻𝗴𝗲 𝗗𝗮𝗶𝗹𝘆 𝗶𝘀 𝗹𝗶𝘃𝗲 — 𝘁𝗵𝗲 𝗳𝗶𝘃𝗲 𝗺𝗶𝗻𝘂𝘁𝗲𝘀 𝘁𝗵𝗮𝘁 𝘀𝗲𝗰𝘂𝗿𝗲 𝘆𝗼𝘂𝗿 𝗻𝗲𝘅𝘁 𝘁𝘄𝗲𝗻𝘁𝘆-𝗳𝗼𝘂𝗿 𝗵𝗼𝘂𝗿𝘀.𝗞𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲𝘀 𝗰𝗮𝗻'𝘁 𝗶𝗴𝗻𝗼𝗿𝗲 𝘁𝗼𝗱𝗮𝘆:
Marvell's 260-lane PCIe 6.0 switch doubles density → redefines scale-up for massive GPU clusters and AI data centers facing interconnect bottlenecks.
Workday launches Sana superintelligence agent with 300+ built-in skills → automates HR/finance workflows across Gmail, Outlook, Salesforce, SharePoint. Time to pilot agentic AI in legacy ERP environments?
Nvidia Vera Rubin full-stack platform unifies CPU/GPU/networking → tackles power/thermal limits in rack-scale AI factories for predictable scaling.
Samsung HBM4E + Nvidia partnership → addresses the memory wall in trillion-parameter models. Forecast your HBM needs now or risk allocation shortages.
Federal side: OPM activates a new HR shared service center for agency consolidation. Congress reauthorizes the Technology Modernization Fund through FY26. Edge AI emerges as the make-or-break test for mission agility.
Want to show and the show notes in your inbox instead of searching and hoping it shows up in your feed? 👉https://theexchangedaily.substack.com/p/the-exchange-daily-march-17-2026
High-impact briefing on AI hardware leaps, enterprise agents, and federal modernization momentum. Read the full show notes 👉 https://go.metora.solutions/TheExchange
Because guesswork isn't a strategy.
#AIInfrastructure #EnterpriseAI #FederalIT #CloudModernization #DigitalTransformation #AI #TechLeadership
@the.exchange.daily
52.0K
THHow is @microsoft adapting databases for the AI era? At Microsoft Ignite I sat down with Shireesh Thota, VP of Azure Databases at Microsoft, for an exclusive conversation that sets the stage for what’s coming.
We talked about how Microsoft is redefining databases for the AI era, moving beyond just compute to focus on data power as the real foundation of AI.
Shireesh walked me through the key differentiators of Azure Database offerings, how they’re being built to handle the next wave of intelligent workloads, and how Microsoft Fabric is bringing everything together as a unified data platform.
We also discussed how Microsoft is infusing AI directly into databases, making them faster, smarter, and adaptive, while also enabling agentic AI systems that can act on insights in real time.
And something many don’t know: Microsoft is one of the top contributors to the PostgreSQL open-source project.
Shireesh shared how this community collaboration continues to drive innovation and scalability across the ecosystem.
We wrapped up with a look ahead, on what’s next in database innovation and how AI will continue to reshape performance, automation, and intelligence at the core of enterprise data systems.
#Data #AI #BI #AzureData TheRavitShow
@theravitshow
282
4WAI is not a future initiative. It’s a present-day business tool.
AI Builder turns manual tasks into intelligent processes.
👉 Ready to see how it can work in your organization?
@4waystech
43
ME🔥 Maximize your AI initiatives for 2026!
Barley Laing, @MelissaDataUK Managing Director, reveals how retailers can max out AI impact by simply integrating: data cleansing, verification and SaaS data quality technologies into their existing databases.
Read his insights in this @imrgecommerce blog post:
👉 https://www.imrg.org/blog/maximising-the-impact-of-ai-in-2026/
@melissadatacorp
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