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We are excited to announce the launch of Issue 8 of the Data & AI Magazine TODAY! We want to express our deepest gratitude to our contributors, who made this issue possible. They are; - Creating Value at Scale with AI in Pharmaceuticals by Tomislav Ilicic from Accenture - Using Semantics to Find Trends in Global Quality Data by Rex VanHorn, MBA, MSAI from Boehringer Ingelheim - Can Large Data Reveal How Sponsor Competition Affects Participant Recruitment In Clinical Trials? By GoTrial GmbH - The Role of Data Science, Machine Learning, and AI in Reducing Clinical Burden by John O’Gorman from S3 Connected Health - Key Principles For Delivering AI Outcomes in The Enterprise by Walid Mehanna from Merck Group - 16 Books to Transform Data into Wisdom by Nicole Janeway Bills from Data Strategy Professionals - Understanding and Mitigating AI Security Threats in the Enterprise by Steve Orrin from Intel Corporation - Embracing the Future of Design: AI's Transformative Role in Creative Processes by Daniel M. from designing tomorrow® - AI kingdom in the desert: my journey to UAE and Saudi Arabia by RuZe Liang from NEOM - The Growing Significance of Knowledge Graphs and GraphRAG in Improving --Model Performance by Kirk Marple from Graphlit, by Unstruk Data - Planning as the Core Challenge in Agentic AI: Solving it with Reinforcement Learning by Anthony Alcaraz from Fribl - How SMEs Can Navigate the Data & AI Landscape by Frank Stadler - LLMs Aren’t Products: The Challenge of Productionisation and Delivering Value by Ziad Al-Ziadi from Banqora - Comprehensive Approaches and Methodologies for Modern and Strategic Content Publishing by Dr. Ana Moya - Mixing Methodologies: Exploring the Power of Physics-Informed Neural Networks by Francesco Gadaleta, Ph.D. from Intrepid AI Thank you for your contribution to the Data Science and AI community. SUBSCRIBE FOR FREE https://lnkd.in/exgtbfYW Follow us on #DataScienceTalent #DataandAIMagazine #AI.

Our latest Issue 8 of the Data & AI Magazine is out NOW. You can subscribe for FREE on the link below; https://lnkd.in/eA6KN7tu

Happy 1st year work anniversary, Manish! Your dedication, hard work, and positive attitude have been truly inspiring. Over the past year, you've made significant contributions to our team and our success. It's been a privilege working alongside you. Looking forward to achieving even greater milestones together. Here's to many more successful years!

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Unleashing the Future with Physics-Informed Neural Networks in Issue 8 of the Data & AI Magazine Imagine blending the precision of physics with the learning power of neural networks. This isn't sci-fi—it's happening now with Physics-Informed Neural Networks (PINNs). Francesco Gadaleta, Ph.D., founder of Amethix Technologies and Intrepid AI, shares his groundbreaking insights in the latest issue of Data & AI Magazine. With career-spanning roles like Chief Data Officer at Abe AI and a key member of Johnson & Johnson's Advanced Analytics Team, Francesco's expertise is as diverse as it is deep. From healthcare to finance, Francesco's work spans multiple industries, proving the limitless potential of AI. But how do physics and neural networks merge to create something revolutionary? Here's a snapshot: - Traditional physics models = precision but complex equations. - Neural networks = data-driven, adaptable, no need for explicit formulas. - PINNs = The best of both worlds, offering unparalleled accuracy and capability. Think of modelling aircraft dynamics or robotic operations—equations and data come together in ways never before possible. Are you curious to know how PINNs are transforming complex problem-solving and pioneering closed-form solutions? Dive deeper into this innovation by subscribing for FREE to Data & AI Magazine on the link below! https://lnkd.in/eA6KN7tu #DataandAIMagazine #PINNs

How Data Shapes Modern Journalism in Issue 8 of the Data & AI Magazine. Meet Dr. Ana Moya, a powerhouse in data science with over 15 years of experience. Holding a doctorate from the Technical University of Dortmund, Ana has transformed editorial strategies at the FUNKE Media Group and Handelsblatt Media Group. From integrating complex data systems to developing sophisticated AI models, Ana’s expertise has driven significant advancements. She's not just a practitioner but a revered academic, teaching Data Science and Business Intelligence. In today’s digital age, data isn’t just a background player—it’s the backbone of editorial success. The sheer volume of information available and the capability to analyse it in real time means that the role of data in shaping news coverage is undeniable. From tracking reader engagement through sophisticated analytics tools to leveraging CRM (Customer Relationship Management) and ERP (Enterprise Resource Planning) systems, data has become a crucial element in the editorial toolkit. This shift toward data-driven journalism requires editorial teams to adapt, ensuring the content they produce is captivating and underpinned by factual accuracy. Journalists now have the tools to understand their audience better, personalise content, and predict trends, all while maintaining the core values of honesty and accuracy. To read the full article, subscribe for FREE on the link below; https://lnkd.in/eA6KN7tu

A Must-Read! In the latest issue of Data & AI Magazine, we spotlight Ziad Al-Ziadi, Co-founder and CPO at Banqora, where they’re revolutionising fintech with applied AI. With a track record spanning Channel 4, Raft, and Zilch, Ziad brings a wealth of experience from roles leading data science, AI, and machine learning initiatives. Let’s face it: The tech scene is buzzing with AI, especially LLMs (Large Language Models). Organisations are eager to jump on this bandwagon, but here’s a reality check: LLMs aren't instant solutions. Think of them as powerful tools rather than quick fixes. Just having an LLM is like giving an intern a supercomputer – the potential is enormous, but the path to actual value is complex and requires care. Imagine integrating AI into legacy sectors like finance or government. These sectors have intricate, time-tested workflows often developed in response to regulatory demands. Simply throwing AI into the mix won’t work. You need a thoughtful approach to genuinely enhance these systems without causing disruption. One pressing issue Ziad highlights is the non-deterministic nature of LLMs. They can be unpredictable, posing unique challenges for user experience design. Imagine driving a car where the steering wheel might occasionally become a joystick. It’s not just frustrating – it's potentially dangerous. The key lies in harmonising AI capabilities with user needs and existing processes, all while respecting the expertise of professionals in these fields. This is where the real innovation happens. Are you curious to dive deeper into Ziad’s insights? Subscribe for FREE on the link below to read the full article; https://lnkd.in/eA6KN7tu #DataandAIMagazine #LLMS #AI

In issue 8 of the Data & AI Magazine, we're thrilled to feature Frank Stadler, a senior data leader from Augsburg, Germany, with 15 years of experience. Frank has an impressive track record, from consulting for BMW to developing life-saving medical software. Six years ago, Frank pivoted to data science, delivering custom solutions that have revolutionised numerous projects. Common AI Myths in SMEs: 1. AI is Optional: The belief that AI doesn’t offer significant advantages is a misconception. AI is becoming critical for business success. 2. Big Data Necessity: Many think massive data sets are essential. Frank clarifies that the quality of data is far more important than the quantity. Frank's Insights: - Quality Over Quantity: For forecasting, a few million rows of high-quality data often suffice. - Technical and Executive Support: SMEs frequently struggle with a lack of technical expertise and senior management buy-in, which is crucial for successful AI integration. Read the full article and subscribe for FREE via the link below; https://lnkd.in/eA6KN7tu

In Issue 8 of Data & AI Magazine, we are pleased to introduce Anthony Alcaraz, the Chief AI Officer at Fribl, who is at the cutting edge of transforming HR through advanced AI technologies. His work ensures candidates are matched seamlessly with job opportunities, optimising the entire hiring process. Beyond Fribl, Anthony is a highly sought-after consultant for startups, offering his extensive expertise in decision science, large language models, natural language processing, and graph theory. His insights are crucial in shaping future AI applications in business. Anthony has developed groundbreaking frameworks like crewAI, LangGraph, and AutoGen, empowering AI agents to tackle complex business strategies collaboratively. These frameworks enhance the capabilities of AI, enabling them to work in unison on tasks such as market analysis, financial data scrutiny, and recommendation crafting. Planning remains a core challenge in the realm of agentic AI. Anthony's latest article delves into how reinforcement learning can address this issue, paving the way for more intelligent and adaptive AI systems. Read the full article and subscribe for FREE below; https://lnkd.in/exgtbfYW #DataandAIMagazine #AI

Issue 8 of the Data & AI Magazine is out now, featuring an article on the GROWING SIGNIFICANCE OF KNOWLEDGE GRAPHS by Kirk Marple! Kirk, a software development veteran with 30 years of experience, started his journey at Microsoft and General Motors before founding and successfully exiting RadiantGrid. Today, he's the CEO of Graphlit, by Unstruk Data, pushing the boundaries of AI with cutting-edge technologies. What Are Knowledge Graphs? Knowledge graphs extract and relate different pieces of information—like metadata on companies, including location, revenue, and employees—to create a web of connected facts. Picture a massive network where every bit of knowledge is linked, making retrieving and understanding complex data easier. Why Should We Care? As Kirk explains, knowledge graphs add a new dimension to data retrieval and integration. While techniques like vector search have gained popularity, knowledge graphs offer an additional layer of depth, making them invaluable in today's AI landscape. How Do They Stand Out? Unlike JSON structures that can struggle with recursion and cycles, knowledge graphs elegantly handle these complexities, allowing for more efficient and meaningful data connections. Dive into Kirk's insightful perspectives and discover why knowledge graphs are no longer a specialised niche but a must-have tool for modern data science. Are you curious about how knowledge graphs can transform your AI projects? Read the full article in Data & AI Magazine! Subscribe for Free on the link below; https://lnkd.in/eA6KN7tu #DataandAIMagazine #Knowledgegraphs #AI