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From Potential Disaster To Driver of Change... Data Execs Share Their Journeys To Effective AI

A potential recipe for disaster proved to be the focus of every data executive’s agenda over the last year. A year ago many data leaders were caught off-guard. Employees embraced new gen AI tools with fervor, driving interest in all AI initiatives. Generative AI had penetrated the enterprise, with gen AI positioned in the Peak Of Inflated Expectation segment on the Gartner Hype Cycle for Artificial IntelligenceI, 20231.

Will AI coding create more monoliths?

Let’s start with a statement everyone can agree on: AI coding is now a permanent fixture of the software development lifecycle. Even if your team hasn’t introduced it officially yet, it’s only a matter of time before one of your peers kicks off the discussion or pushes a PR that, perhaps even unbeknownst to you, is entirely AI-generated. Now, let’s rub some folks the wrong way: AI coding in a microservices architecture is a recipe for disaster.

3 Ways Analyst Relations Professionals Can Leverage AI

How to leverage artificial intelligence to enhance the value and impact of analyst relations. Analyst relations (AR) is a strategic function that aims to build and maintain positive relationships with industry analysts, influencers, and experts who provide insights, guidance, and recommendations to technology buyers and vendors.

Harnessing Global Perspectives for AI Industry Leadership

Besides a few initiatives, global efforts to address the unprecedented challenges and opportunities presented by AI remain fragmented. The recent "AI Safety Summit" provided a crucial opportunity to emphasize the importance of international perspectives to fully tap into AI's potential. It has helped guide the conversation around responsible AI development and governance, ensuring the benefits of AI are maximized while mitigating its risks.

Gen AI in Healthcare: Harnessing its Potential in Innovation & Personalized Care

GenAI can unlock a trillion-dollar opportunity in healthcare, says McKinsey. But how would this unfold? Tune into this podcast where Senior healthcare IT leader Ajay Behuria shares deep insights and vision for GenAI's transformative potential—from reshaping healthcare delivery to optimizing remote patient assistance and ensuring fairness in AI solutions. In this session, Ram Mamidanna, SVP of Digital Engineering Services at Cigniti, delves into real-world implementation journeys, strategies for adoption, and overcoming challenges in integrating GenAI with enterprise architecture.

Lack of Governance, Infrastructure Readiness, and IT Talent Leading to Enterprise GenAI Struggles: New Report

Nearly all organizations surveyed view GenAI as a top 5 priority, but just 44% have comprehensive governance policies in place. Organizations cite security, infrastructure, and data management as top barriers to adoption.

Episode 03: Future of Artificial Intelligence- How AI Will Affect Businesses in 2024 and Beyond.

In the latest episode of Digital Vanguard: Zymr's CTO Podcast, Chloe and Sam delve deep into discussions about Artificial Intelligence. Exhibiting Zymr's expertise in AI/ML, the discussion covers AI's transformative impact on various industries in 2024 and beyond. Sam highlights AI's role in enhancing operational efficiency, security, and personalization across sectors such as cloud computing, CRM, cybersecurity, e-commerce, fintech, and healthcare. For cloud computing, AI optimizes resource allocation and security.

Pioneering the Future: Generative AI's Impact on Medical Devices

According to the World Health Organization (WHO), Up to 50% of medical errors in primary care stem from administrative issues. There is a projected shortfall of 10 million health workers by 2030. Given the statistics highlighting device errors and a shortage of maintenance professionals exacerbate healthcare challenges, Generative AI in medical devices offers diversified solutions.