Artificial Intelligence

IT and security professionals listening to a keynote speech at Cisco Live 2024.

Cisco Live 2024 in a Nutshell

During its annual flagship event, Cisco unveiled Splunk integrations and several security and networking innovations powered by AI. Here are the highlights: This year’s Cisco Live in Las Vegas edition was abuzz with activity and exciting updates. Roughly 20,000 IT and security experts, including Core BTS pros, came together to network and learn about Cisco’s…

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Healthcare professional sharing medical information with a patient using a tablet.

Ethical AI Adoption: Ensuring Trust in Healthcare with Windows 11

Healthcare providers must balance AI adoption with ethical practices to realize its full promise. With Windows 11 and Core BTS’s help, discover how to stay ahead of the curve. Artificial intelligence (AI) is changing the face of healthcare as we know it. However, alongside immense potential lies the challenge of ensuring responsible AI adoption.  This…

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Modernizing the Tax Industry with NATP, Core BTS and Microsoft Collaboration

In the high-stakes environment of the tax industry, especially during the frantic pace of tax season, the National Association of Tax Professionals (NATP) recognized an opportunity to qualify innovation to enhance the quality of its services.

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Physician accessing a health system on a computer

Enhancing Patient Care: Overcoming Technological Hurdles for Improved Experiences

As technology disrupts the healthcare sector, organizations must leverage it to deliver better care and meet patient expectations. While healthcare is a hands-on field, technological advancements are transforming how caregivers deliver services—and how patients receive them. Technology solutions have proven to improve patient outcomes, increase patient volume, save money and time, and boost revenue. Perhaps…

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A Guide to Preparing Organizational Data for AI

The future of your business may hinge on how AI-ready your data truly is. In this blog, we explain how to prepare your data for machine learning (ML) models – which are essential to AI implementation.

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