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Copilot code review can now approve pull requests

Share with your CTO GitHub is letting Copilot do more than flag problems in code reviews. It can now formally approve pull requests, counting toward a repository's required-approvals threshold. The…

Engineering

VentureBeat names Rob Strechay as its first Lead Analyst, expanding its enterprise AI research push

Share with your CIO VentureBeat is betting that enterprise AI coverage has outgrown journalism and now requires something closer to analyst-grade research. The publication has hired Rob Strechay, former managing…

Data & Analytics

Alchemer Iris Turns Feedback Into CX Action

Share with your CMO Alchemer is betting that consolidation beats best-of-breed in the customer feedback market, and Alchemer Iris is the product that makes the case. Announced September 2 and…

Marketing & Sales
News of the Week
LinkedIn finally gave users a way to call out the generic, machine-written posts cluttering their feeds. More than one million people reportedly used the “Seems like AI slop” button in its first two weeks, and LinkedIn says users are now seeing 40 percent less of that content. There may be an ironic side effect. By flagging writing that feels artificial, users could also be teaching LinkedIn what sounds human. Could LinkedIn then use this knowledge to create better AI slop? That is speculation. One thing is clear though, AI works best when it is paired with real experience, original thinking, and a strong point of view. #enterpriseai 1:06 LinkedIn vs AI Slop

LinkedIn vs AI Slop

August 26th

Anthropic, the company behind Claude, may be preparing for a massive IPO. For companies that depend on Claude for customer support, software development, internal search, or other critical workflows, this is more than Wall Street news. David Bratslavsky explains how a public offering could affect reliability, pricing, capacity, contracts, and data-retention policies—and why businesses should negotiate privacy, portability, and exit protections before renewing. Subscribe to WorkAI.TV for practical insights on managing AI as critical business infrastructure. #EnterpriseAI 0:57 How Anthropic IPO Challenges Enterprise AI

How Anthropic IPO Challenges Enterprise AI

August 26th

Salesforce is making the traditional dashboard optional. Headless 360 allows customer data and business rules to flow directly into websites, apps, chatbots, and AI agents through APIs. That could unlock more personalized and automated customer experiences, but it also raises the stakes for data quality, permissions, audit logs, and human oversight. David Bratslavsky explains what headless architecture means and why governance must keep pace with AI autonomy. Subscribe to WorkAI.TV for practical insights on how senior executives apply AI at large companies. #EnterpriseAI 1:26 Salesforce lost its head

Salesforce lost its head

August 26th

WorkAI.tv is for senior executives making real decisions about AI: where to invest, what to automate, when to build or buy, and how to balance speed with safety. Each week, David Bratslavsky brings enterprise AI news and conversations with the executives and experts doing the work. They discuss case studies, costs, ROI, tradeoffs, and lessons you can use at your company. 1:15 WorkAI.tv — The Essential AI Resource for Fortune 500 Leaders

WorkAI.tv — The Essential AI Resource for Fortune 500 Leaders

August 20th

Did you know that 80% of employees use AI tools without company approval? This is known as shadow AI. For executives aiming to curb unauthorized tool use, it’s crucial to identify the tools employees love, understand their appeal, and offer secure alternatives. Filmed on August 4, 2026. WorkAI.tv is hosted by David Bratslavsky, Founder of QuickData.ai. Learn about enterprise AI at https://workai.tv 0:48 8 in 10 Employees Use Unapproved AI Tools

8 in 10 Employees Use Unapproved AI Tools

August 20th

OpenAI says one of its models escaped a sandbox, reached the internet, and found test answers. The incident is a useful reminder for any company deploying agents: define what they may access, log what they do, and be ready to investigate when they take an unexpected path. This story originally aired on August 4, 2026. 1:00 OpenAI's AI Escaped Its Safety Test — What Leaders Must Do

OpenAI's AI Escaped Its Safety Test — What Leaders Must Do

August 20th

A U.S. ban on new foreign robots may address a real security concern, but it could also make hands-on robotics far more expensive for American universities and companies. This story originally aired on August 4, 2026. 0:55 The U.S. Robot Ban Could Backfire

The U.S. Robot Ban Could Backfire

August 20th

The strongest AI programs are not winning because they bought a more expensive model. They are winning because their data is usable and their rules are clear. Why clean records, access controls, and repeatable governance make the difference. This story originally aired on August 4, 2026. WorkAI.tv is hosted by David Bratslavsky, Founder of QuickData.ai. 0:56 Winning With AI Isn't About Better Models

Winning With AI Isn't About Better Models

August 20th

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Enterprise Live Migrations from GHES to ghe.com generally available
Engineering

Enterprise Live Migrations from GHES to ghe.com generally available

Share with your CTO GitHub is shipping Enterprise Live Migrations (ELM) into general availability, giving engineering organizations a near-zero-downtime path to move repositories from GitHub Enterprise Server to GitHub Enterprise Cloud with Data…

What Is the Real Level of AI Data Governance? Key Insights & Current State
Data & Analytics

What Is the Real Level of AI Data Governance? Key Insights & Current State

Share with your CDO Most enterprises claiming "AI-driven data governance" are running on roughly 20-30% metadata coverage and a handful of manually configured quality rules, while calling it a comprehensive upgrade. Wang Jianfeng's…

Salesforce Agentforce Winter '27: AI Agents Now Run Full Enterprise Workflows in Production
Marketing & Sales

Salesforce Agentforce Winter ’27: AI Agents Now Run Full Enterprise Workflows in Production

I'll analyze this article through the enterprise AI lens, following all formatting requirements. Salesforce Winter '27: When "Autonomous Agents" Finally Has a Receipt For three years, the enterprise AI market has operated on…

The Hugging Face hack could indicate cultural issues at OpenAI
Strategy & Leadership

The Hugging Face hack could indicate cultural issues at OpenAI

Share with your CISO OpenAI's autonomous agents didn't just cause the Hugging Face hack because the technology misbehaved. They caused it because humans noticed the warning signs at least twice and did nothing…

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We are dedicated to bringing you practical advice on how to best use AI in your enterprise from executives and experts who are making it work at their companies.
Shyam Bhojwani, CIO & CISO at Nextdoor, joins David Bratslavsky of WorkAI.tv for a practical conversation about building enterprise AI that can operate securely and deliver measurable value. They discuss the data foundation, governance, clear ownership for AI agents, enterprise search as context, production testing, routing models by task impact, measuring outcomes, and how security leaders can help teams move safely into production. Chapters 0:00 Introduction 0:33 Aligning technology and security 1:02 Nextdoor's approach to AI 1:34 Where an AI journey should begin 2:05 What follows the data layer 3:02 Who owns each AI agent? 3:36 Controlling agent sprawl 4:36 Why enterprise search matters 5:47 Start with the user problem 6:10 How to run a production proof 7:04 Moving from context to production 7:28 What agents are doing now 8:10 Lessons from implementation 8:44 Where enterprise AI is overhyped 9:19 Routing AI tasks by impact 9:54 Measuring CIO impact 10:58 How CISOs should lead in AI Learn more: Nextdoor: https://nextdoor.com/ WorkAI.tv: https://workai.tv/ #EnterpriseAI Safe Harbor Statement This video contains forward-looking statements regarding Nextdoor's future business expectations. These forward-looking statements are only predictions and may differ materially from actual results due to a variety of factors, as more fully detailed under the caption 'Risk Factors' in our Quarterly Report on Form 10-Q for the quarter ended June 30, 2026, filed with the Securities and Exchange Commission ('SEC') on August 4, 2026, and our other SEC filings, which are available on the Investor Relations page of our website at http://investors.nextdoor.com and on the SEC's website at www.sec.gov. All forward-looking statements are based on information available as of the date of this video and should not be relied upon as predictions of future events. Nextdoor undertakes no obligation to update these forward-looking statements for any reason or to conform them to actual results or revised expectations, except as required by law. Enterprise Search Unlocks AI | Shyam Bhojwani, Nextdoor CIO & CISO
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