Enterprises are rapidly adopting AI agents, but managing and governing this growing number has become a major challenge. Gartner predicts Fortune 500 companies will use over 150,000 AI agents by 2028, yet only 13% feel prepared with the right governance. Xpander.ai, a startup founded by ex-AWS engineers, addresses this by offering a vendor-neutral control plane that helps companies run and govern AI agents across different platforms without rebuilding infrastructure for each new agent.

Xpander's platform includes a Universal Harness—a flexible, agnostic runtime supporting various AI models, frameworks, and cloud environments. It offers centralized governance features like permissions, audit trails, credential handling, and multi-user workflows under "Multiplayer AI." The solution supports both hosted and self-deployed models, with a pricing model based on agent activity.

This approach lets companies avoid vendor lock-in by controlling permissions, monitoring, and execution themselves, while still leveraging popular AI models. Xpander’s offering competes with services like LangChain, CrewAI, and Temporal but differentiates by combining framework independence, enterprise-grade governance, collaboration, and runtime infrastructure in a single platform.

As AI agents become integral in enterprises, Xpander aims to give organizations control and transparency over their AI ecosystems, making agent management more collaborative and secure without sacrificing flexibility or innovation.

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Every organization and hiring manager aims to hire the best talent and gain an edge over competitors. But consider this: Have you ever been given a chance by a decision-maker despite lacking perfect credentials? You likely exceeded expectations because someone saw potential in you. Yet today, many leaders hesitate to take these bets, often focusing only on candidates with flawless resumes and backgrounds. This approach is costly and risky.

Research shows that opportunity — giving people a chance and investing in their growth — drives recruitment interest, engagement, effort, and retention more than salary or job design. Yet most leaders reserve opportunities for those they already perceive as "the best," which is neither objective nor efficient. Talent evaluation varies widely, and the "only the best" mindset narrows candidate pools, drives up costs, and often results in poorer performance when star hires fail to meet expectations in new roles.

An alternative is the "opportunity mindset," which doesn’t mean lowering standards but identifying candidates with the right skills and potential rather than credentials alone. By supporting new hires through onboarding, mentorship, and development, organizations can turn good hires into great employees. This approach broadens the talent pool to include nontraditional candidates like community college grads, career switchers, or parents returning to work, creating a more diverse, resilient workforce.

Leading companies like IBM, Bank of America, Google, and others have adopted skills-first hiring and internal promotions, finding these strategies improve retention, productivity, and financial performance.

Even in today’s hiring recession, the opportunity mindset remains valuable. Increased applicants don’t improve judgment, and AI-generated resumes blur signals, making skills assessments more critical. Hiring now offers a chance to invest in undervalued candidates at a lower cost, preparing your company for future labor shortages and a tighter market.

To apply this, try a hiring experiment: define key job skills, evaluate all finalists consistently, and commit to developing the new hire’s potential over their first year. Track performance and retention. This approach could uncover a powerful competitive advantage — transforming good candidates into outstanding employees.

The opportunity mindset builds enduring, inclusive, and future-ready organizations by betting on potential and growth. Remember how someone once believed in you and the returns that brought. Those who make similar thoughtful bets now will lead organizations that thrive over the long term.

Databricks initially sought to raise $1 billion for its latest funding round but faced overwhelming interest from investors aiming to invest $15 billion. Ultimately, the company agreed to raise $5 billion, achieving a valuation of $190 billion. CEO Ali Ghodsi told TechCrunch that AI technology is costly, and given the high level of investor enthusiasm, they decided to accept more capital than originally planned.

OpenAI is previewing a significantly accelerated version of its most advanced model, designed to attract enterprise customers by dramatically improving processing speed.

IBM is set to train and certify tens of thousands of its consultants in OpenAI’s cutting-edge technologies as part of their new partnership aimed at enhancing AI solutions for enterprise clients.

Microsoft is consolidating its Copilot offerings into a single app for both consumers and businesses. Alongside this merge, the company is discontinuing several AI-driven features including AI-generated podcasts, Group Chats, Deep Research, and the Mico character to focus on a more unified and efficient user experience.

According to the Wall Street Journal, Apple is considering allocating a budget in the nine-figure range to compensate news publishers for providing current news content through Siri.

A groundbreaking shift in US cybersecurity policy now authorizes certain private firms to carry out offensive cyber activities, commonly known as 'hack back' attacks. This change overrides decades of previous regulations that forbade private sector involvement in such proactive cyber defense measures.

Lee McIntire, who serves as an independent member of Fermi's board, has been appointed as the new CEO. This appointment comes over three months after the company parted ways with its co-founder Toby Neugebauer, who previously held the CEO position.

Denise Dresser, OpenAI's chief revenue officer, is departing after a brief eight-month tenure. She will be succeeded by Dali Rajic, who previously served as president and COO of Wiz. In addition to the leadership shift, OpenAI is actively recruiting to strengthen its go-to-market team. This move follows the recent exit announcement of veteran executive Brad Lightcap, marking a significant transition in the company’s sales operations.