Kris Pennella’s Post

87% of companies are already developing, piloting, or deploying generative AI - but there are concerns around readiness. As generative AI moves from exploration to delivering real business value in 2024, businesses are facing several concerns: - 💰 Increased Investment: Companies are investing heavily, with an average of $5 million annually. - 🔒 Security Concerns: Initial worries about security are evolving into challenges around implementation. - 📈 Mixed Success: While sales, software development, and marketing show promise, legal and HR departments are lagging behind. - 🖥️ Tech Readiness: Tech companies lead in readiness but face unexpected hurdles in data and security protocols. #GenerativeAI #BusinessInnovation #TechTrends #AI #DigitalTransformation #GenAI https://lnkd.in/etrBHfZe

Integrating AI is seen as the ultimate competitive advantage in the modern day business landscape. However, data readiness is the crucial, often overlooked, prerequisite for successful AI implementation. In this insightful Forbes article, our CEO and Forbes Technology Council member, Mohit Gupta, explores why high-quality, reliable, and accessible data is the bedrock of AI-driven innovation and competitive edge. From enhancing decision-making to supporting revenue growth, discover how prioritizing data readiness can unlock the full potential of AI in your organization. Read the full article to learn about the benefits, challenges, and strategies for achieving data readiness and maximizing your AI investments: https://lnkd.in/g93a3Z7B #DataReadiness #AIAdoption #Innovation #BusinessStrategy #DataManagement #TechLeadership #Forbes

🌟 Harnessing AI for Better Public Services🌟 How can AI and digitisation solve public service challenges? 🛠️ At techUK, we recognise AI's immense potential to transform government operations and public services. However, adoption faces hurdles: siloed working, legacy tech, and a digital skills shortage. 🤔 The next Government must prioritise AI deployment in impactful areas, update standards, streamline procurement processes, and remove legacy tech to unlock AI's potential. This will create a more innovative, efficient, and responsive government. To learn more read the full details, as well as other tech policy briefings, here: https://orlo.uk/fAYFU #AIAdoption #DigitalTransformation #Election2024

Overcome Roadblocks of #AI Adoption: "Early adopters of AI for new product development (NPD) report dramatic performance results and are currently accelerating their investment in AI (IBM Newsroom 2024). Companies like Siemens, GE, Nestlé, and Pfizer have experienced reductions in development times of 50 percent or more, better optimization of product designs, and breakthrough discoveries (Cooper 2024a; Cooper and McCausland 2024). While businesses have adopted AI for reasons like productivity improvements and cost reductions, the top benefit realized is increased innovation (Jyoti and Kuppuswamy 2023)." Dr. Robert G. Cooper #innovation #business #growth https://lnkd.in/eGxz9N3W

AI is set to transform the way governments serve their citizens by boosting productivity and streamlining public services. From improving decision-making to tackling mundane tasks, AI holds immense potential. To efficiently iterate GenAI tools into organizations, public sector leaders will need to understand how GenAI can create value for them and gradually enhance their technological and organizational frameworks. https://bit.ly/45Yhnrq

Without proper #data readiness, AI can't reach its full potential. But with Hitachi iQ AI Discovery Service, businesses can ready their employees, data, and infrastructure to undergo successful #AI adoption. Learn how it works: https://ow.ly/9bVb30sIzEp #Innovation

With Anthropic’s latest AI model showcasing advanced computer skills, the question isn’t just about adopting smarter tools—it’s about making smarter decisions. The key to leveraging cutting-edge AI effectively lies in having the right strategy in place, ensuring it integrates seamlessly with long-term goals and optimizes performance. Smarter AI, Smarter Decisions: Adapting to the Latest Tech  🚀 Higher performance without added cost tackles the balance between efficiency and affordability. 🤖 Unlocks automated workflows and boosts productivity across sectors. 🎯 Claude model sets the stage for precision-focused AI applications of the future. ↘️ https://rb.gy/sxj9vu How is your organization planning to leverage this shift in AI development? Share your thoughts below! 👇 #AIDriven #EnterpriseSolutions #BusinessInnovation #TechAdvancement #StrategicGrowth

💰By 2027, enterprises will spend over $400 billion+ on AI software, hardware, and services. Some of those investments will be wasted in the “Commodity AI trap” while others will use it to truly transform and capture precious market share from competitors.  What sets these investments apart? How can the Global 2000 go from 10% incremental gains to 10x transformations? The real competitive edge comes from how businesses apply AI:  🔐 Going beyond LLMs and unlocking proprietary data 🎛️ Actively governing cost, quality, and privacy  👐 Putting AI into the hands of more people, empowering teams to innovate boldly.  Dataiku President Krish Venkataraman explains how companies can turn AI into a true differentiator and unlock transformative value in https://bit.ly/49CTSGx: | https://bit.ly/49I0bsj | #AI #BusinessStrategy #Innovation

Without proper #data readiness, AI can't reach its full potential. But with Hitachi iQ AI Discovery Service, businesses can ready their employees, data, and infrastructure to undergo successful #AI adoption. Learn how it works: https://ow.ly/poGJ30sHb0g #Innovation

The renewed interest in explainable AI is driven by its critical role in enabling widespread enterprise adoption of AI. Without understanding how AI models arrive at their decisions, trust, acceptance, and accountability are elusive, impeding large-scale deployment and adoption. This article introduces a framework for assessing various levels of explainability, their substantial impact on AI implementation and operations, and the associated requirements. Stages: 🚀 Adoption and Performance: Use explainability to optimize AI adoption and results. 🚀 Trust Building: Explain AI decisions to foster user and stakeholder confidence. 🚀 Interoperability: Enable seamless integration of AI systems to unlock new possibilities. Benefits: 🚀 Build trust: Explainability fosters transparency and confidence in AI systems. 🚀 Mitigate risks: Understanding AI decisions helps identify and address potential biases or errors. 🚀 Ensure compliance: Explainability can aid in meeting regulatory requirements for AI transparency. 🚀 Unlock new opportunities: Interoperable AI systems can create more valuable and innovative solutions. I share the paper with you:  https://lnkd.in/eYxr6etb #Innovation #inteligenciaartificial #MachineLearning #analytics