Toggle light / dark theme

Today, AI agents have evolved to become more modular and sophisticated. Agents like ChatGPT can engage in conversations and assist in a wide range of workflows, including customer service and financial decision-making.

Technologies such as retrieval-augmented generation (RAG) allow AI systems to combine different data sources dynamically, making them more adaptive and helpful in real-world applications. As AI’s influence expands into industries such as finance, healthcare and cybersecurity, it is becoming clear that AI agents are critical components of modern business operations.

Despite the remarkable progress in AI, deploying these systems presents several challenges. One of the primary concerns is the risk of bias embedded in the datasets used to train AI agents. AI systems learn from historical data, which can contain patterns of discrimination that, if unchecked, lead to biased decisions, such as favoring particular groups over others in hiring or lending scenarios.

The company has unveiled plans for a new data center in Richland Parish, Louisiana, marking a significant expansion of its global infrastructure. The $10 billion investment will be Meta’s largest data center to date, spanning a massive 4 million square feet. This state-of-the-art facility will be a crucial component in the company’s ongoing efforts to support the rapid growth of artificial intelligence (AI) technologies. Meta did not disclose an estimated completion or operational date for this facility.

The new Richland Parish data center will create over 500 full-time operational jobs, providing a substantial boost to the local economy. During peak construction, the project is expected to employ more than 5,000 workers.

Meta’s decision to build in Richland Parish was driven by several factors, including the region’s robust infrastructure, reliable energy grid, and business-friendly environment. The company also cited the strong support from local community partners, which played a critical role in facilitating the development of the data center.

Delivering Innovative, Compassionate And Accessible Patient Care — Robert Stone, CEO — City of Hope & Dr. Marcel van den Brink, MD, PhD, President, City of Hope Comprehensive Cancer Center.


Robert Stone is the CEO of City of Hope (https://www.cityofhope.org/robert-stone), a premier cancer research and treatment center dedicated to innovation in biomedical science and the delivery of compassionate, world-class patient care. A seasoned health care executive, he has served in a number of strategic decision-making roles since he joined City of Hope in 1996, culminating with his appointment as president in 2012, CEO in 2014, and as the Helen and Morgan Chu Chief Executive Officer Distinguished Chair in 2021.

Mr. Stone has J.D., University of Chicago Law School, Chicago, IL.

Conversely, proprietary LLMs typically offer robust security features but still pose data privacy and control risks. Using these models involves sharing sensitive data with a third-party provider, which could lead to regulatory penalties if a breach occurs.

LLMs also lack transparency regarding their training data and how datasets are formed. Be mindful of potential bias and fairness issues and consider a human-in-the-loop approach, where specialists review and manage the model’s output.

LLMs are most effective when used to streamline complex processes and drive innovation. To leverage these models responsibly, prioritize data governance—especially in highly regulated industries.

🚀 Q: How will Jared Isaacman’s background influence NASA’s future direction? A: Isaacman’s experience as a business leader, philanthropist, pilot, and astronaut will drive NASA towards a bold era of space economy development, focusing on groundbreaking achievements in space science, technology, and exploration.

🌠 Q: What is Isaacman’s vision for NASA’s mission? A: He aims to pursue a thriving space economy, transforming humanity into a space-faring civilization with breakthroughs in manufacturing, biotechnology, mining, and potentially new energy sources.

Boosted by China’s rapid development pace in artificial intelligence (AI) technologies, more companies have noted the huge business potential in AI companionship sectors, as simulated AI pets with adorable appearances gaining increasing popularity among Chinese consumers.

Zhang Yi, CEO of the iiMedia Research Institute, told the Global Times on Sunday that consumers’ demand for emotional support and the capability of current AI technologies offer this type of products greater business potential.

A Beijing-based student in her 20’s surnamed Zhang, who is also an AI technology fan, told the Global Times on Sunday that she bought “Boo Boo,” a simulated AI robotic pet developed by Hangzhou-based Genmoor Technology.

Froilan Mendoza is Founder & Chief Technology Officer of Fulcrum Solutions.

Small businesses are the backbone of the U.S. economy. They represent 99.9% of all businesses in the country, account for 43.5% of GDP and employ almost half of the U.S. workforce. Yet small business owners have always had to overcome obstacles to survive and succeed. Lack of capital is responsible for 38% of small business failures. Labor costs make up 70% of their expenses, and a national labor shortage of 2 million workers is exacerbating the difficulty of hiring and keeping talent.

The good news is that AI is leveling the playing field for small businesses, giving them easy-to-use tools to optimize their processes and scale their organizations without huge teams or budgets. A 2024 study from the U.S. Chamber of Commerce found that 98% of small businesses are already using an AI-enabled tool, and 91% of owners say that AI will fuel future business growth. The use of generative AI tools, such as chatbots and image creators, grew by 40% in the last year.

Ryan Serhant’s eponymous brokerage has been in rapid growth mode this year following the success of the Netflix show “Owning Manhattan,” and now investors want in on the action.

SERHANT. announced Monday that it secured $45 million in a seed funding round led by real estate venture capital firm Camber Creek and participation from Left Lane Capital.

The investment — which is going to SERHANT. Technologies, the umbrella company that includes the brokerage — will be used to develop the company’s AI platform known as S.MPLE. The company believes S.MPLE will optimize workflows and help scale other parts of its business, including the brokerage.

While the technology itself is impressive, its true potential lies in how leaders manage its adoption. Fostering a culture of innovation and continuous learning is crucial for success in this new industrial era. Leaders must ensure that their workforce is not only comfortable with automation but is also empowered to collaborate with AI-driven systems. Upskilling and reskilling employees to work alongside AI will create a workforce capable of leveraging technology to enhance operational efficiency.

It’s also essential for business leaders to prioritize cybersecurity and data privacy. The increased connectivity that comes with IIoT introduces new vulnerabilities, and safeguarding company and customer data must be a top priority.

AI, edge computing and IIoT represent a fundamental shift in the way industries operate. The future of manufacturing is not just automated. It is also intelligent, with systems that learn, predict and adapt in real time. For leaders, the challenge is not only implementing these technologies; it’s also fostering an environment of innovation where technology, data and human expertise work together to achieve operational excellence.