Katie Shutt’s Post

🌟 Grateful for Positive Feedback 🌟 I’ve recently had the pleasure of receiving some wonderful feedback from candidates I’ve been working with, and it really reminded me why I love doing what I do. Here’s what a few of them had to say: "I had a pleasant experience throughout and I think it was one of the best recruitment processes I’ve been through." "From the beginning, the process felt seamless and personalised. You took the time to understand not just my skills and experience, but also my career aspirations. It felt like you were advocating for me, not just trying to fill a position." As a recruitment consultant, it’s so important to help candidates feel at ease throughout the entire process. From prepping them for interviews to ensuring they have all the information they need, transparency and communication are key. I make it a priority to keep my candidates updated at every step, so they know exactly where they stand. "Your communication was consistent and clear, keeping me informed at every step, which alleviated a lot of the typical stress that comes with job searching." But my commitment doesn’t stop once they’ve landed the role. I believe in staying in touch to make sure they’re settling in well and feeling positive about the move they’ve made. After all, sometimes things don’t always turn out as we had hoped, and that’s okay too – it’s all part of the journey. I’m here to support them, whether the transition goes smoothly or not. "Even after I secured the job, you continued to check in, showing genuine curiosity about my well-being and ensuring everything was going well. This level of care and commitment is truly exceptional." It’s this ongoing relationship with my candidates that truly makes this role rewarding. Their success is my success! 💼✨ #Recruitment #CareerSuccess #CandidateExperience #StayConnected #PositiveFeedback

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/emYGNEND #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/emYGNEND

A Must-Read! In the latest issue of the 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/emYGNEND #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/emYGNEND

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 on the link 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/exgtbfYW #DataandAIMagazine #Knowledgegraphs #AI

Join us In our latest episode from the Data Science Conversations podcast, co-hosted by our CEO, Damien Deighan. In this episode, we talk to KP Reddy, founder and managing partner of Shadow Ventures, who explains how AI is set to redefine the startup landscape and the venture capital model. KP shares his unique perspective on the rapidly evolving role of AI in entrepreneurship, offering insights into: - GENAI adoption in large companies is still limited  - How AI is empowering leaner, more efficient startups - The potential for AI to disrupt traditional venture capital strategies - The emergence of new business models driven by AI capabilities - Real-world applications of AI in industries like construction, life sciences, and professional services To listen to KP's interview, click on the link below; https://lnkd.in/eHNTJrdk #DataScienceTalent #DataScienceConversations #Podcast #GENAI

The Data Science Talent Newsletter Edition 6 is now available to provide you with valuable Insights on all things Data Science and AI. In this edition, we explore the following topics: - AI the World Can Trust By James Duez - Leveraging Data for a Sustainable Competitive Advantage with GenAI By Michel de Ru - The Evolution of GenAI: From GANs to Multi-Agent Systems By Martin Musiol If you know someone who would find this newsletter helpful, please share it with them and help us grow our community. https://lnkd.in/gnUcsbxb #DataScienceTalentNewsletter