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Unlock the power of Oracle Database 23AI and Autonomous Database Serverless (ADB-S) with this comprehensive guide to the latest innovations in performance, security, automation, and AI-driven optimization. As enterprises embrace intelligent and autonomous data platforms, understanding these capabilities is essential for data architects, developers, and DBAs. Explore cutting-edge features such as vector data types and AI-powered vector search, revolutionizing data retrieval in modern AI applications. Learn how schema privileges and the DB_DEVELOPER_ROLE simplify access control in multi-tenant environments. Dive into advanced auditing, SQL Firewall, and data integrity constraints to strengthen security and compliance. Discover AI-driven advancements like machine learning-based query execution, customer retention prediction, and AI-powered query tuning. Additional chapters cover innovations in JSON, XML, JSON-Relational Duality Views, new indexing techniques, SQL property graphs, materialized views, partitioning, lock-free transactions, JavaScript stored procedures, blockchain tables, and automated bigfile tablespace shrinking. What sets this book apart is its practical focus—each chapter includes real-world case studies and executable scripts, enabling professionals to implement these features effectively in enterprise environments. Whether you're optimizing performance or aligning IT with business goals, this guide is your key to building scalable, secure, and AI-powered solutions with Oracle 23AI and ADB-S. What You Will Learn Explore Oracle 23AI's latest features through real-world use cases Implement AI/ML-driven optimizations for smarter, autonomous database performance Gain hands-on experience with executable scripts and practical coding examples Strengthen security and compliance using advanced auditing, SQL Firewall, and blockchain tables Master high-performance techniques for query tuning, in-memory processing, and scalability Revolutionize data access with AI-powered vector search in modern AI workloads Simplify user access in multi-tenant environments using schema privileges and DB_DEVELOPER_ROLE Model and query complex data using JSON-Relational Duality Views and SQL property graphs Who this Book is For Database architects, data engineers, Oracle developers, and IT professionals seeking to leverage Oracle 23AI’s latest features for real-world applications

In our upcoming meetup, we'll explore best practices in MLOps, ensuring robust and automated workflows, and discuss the latest advancements in Generative AI for real-world applications. Whether you're optimizing data pipelines, scaling AI models, or navigating the transition from experimentation to production, this event will provide valuable insights from industry experts.

Between presentations, you will have the opportunity of networking and meeting data enthusiasts at the Netlight office, food and drinks will be served.

Agenda:

17:30 - 18:00: Doors open 18:00 - 18:10: Welcome 18:10 - 18:40: Navigating the Intersection of MLOps and GenAI: A Comparative Exploration 18:40 - 19:10: Break 19:10 - 19:40: Building LEGO Castles Instead of Sandcastles: A Tale of Modularity in Data & ML Systems 19:40 - 20:30: Networking

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Presentations:

Navigating the Intersection of MLOps and GenAI: A Comparative Exploration Per Hedbrant - Consultant, Netlight Martti Yap - Consultant, Netlight

In this presentation, we'll embark on a journey through the evolving landscapes of MLOps and GenAI architectures. Drawing from extensive experience in data engineering and machine learning, coupled with hands-on work in the emerging field of GenAI, we will provide insights into the fundamental differences and similarities between these two domains.

We'll delve into the core components of a mature MLOps platform, highlighting processes like data preparation, model training, and deployment. Then, we'll contrast these with the emerging architecture of GenAI, exploring concepts of observability, guardrails, and model evaluation techniques.

This talk aims to equip you with a deeper understanding of where the focus lies in MLOps—emphasizing operational efficiency and model lifecycle management—and in GenAI—highlighting the demands of AI-driven solutions in production. Whether you're a student, a newly minted professional, or a seasoned expert, this session will provide valuable perspectives on integrating these technologies into your workflow, fostering both operational robustness and creative AI capabilities.

Speakers Bio: Per Hedbrant is a Netlight consultant with a strong background in data engineering and machine learning, currently engaged in advancing Generative AI solutions. Passionate about bridging the gap between traditional ML operations and cutting-edge AI innovations, Per is dedicated to unleashing business value through building AI products and teams.

Martti Yap is a Netlight consultant, with a background in data science and ML. He is currently developing generative AI capacities for industry enterprises. Martti thrives best where evolving business needs meet advanced technological solutions. He enjoys sparking interest and promoting knowledge sharing throughout organizations and teams.

Building LEGO Castles Instead of Sandcastles: A Tale of Modularity in Data & ML Systems Anton Gollbo - Data/ML Engineer, Netlight

Building reliable and scalable machine learning systems is challenging, especially when workflows rely on fragile, tightly coupled scripts and notebooks. These "sandcastle-like" systems—where every component depends on the exact state of the whole—break easily, slowing down iteration and making debugging painful. Without clear modularity, small changes can cause unintended failures, leading to rigid, hard-to-maintain pipelines that don't scale well. To address this, we shift towards a LEGO-like approach, where ML systems are built from small, interchangeable, and testable components. By designing modular pipelines with well-defined boundaries—such as independent data processing, feature engineering, model training, and evaluation steps—our goal is to create flexible and reusable workflows. This talk explores the journey from tightly coupled systems to composable architectures, showing how modular design enables faster iteration, greater reliability, and long-term scalability in ML development.

Speakers Bio: Anton is a consultant at Netlight, bringing extensive experience from data and machine learning projects. His professional journey has taken him through various stages of the data and ML lifecycle, cultivating an interest in constructing systems that are both data-intensive and designed for easy testing and modularity.

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About the event

Date: March 27th , 17:30 - 20:30 Location: Netlight Consulting AB, Regeringsgatan 25, 111 53 Stockholm. Directions: At the entrance, take the staircase and you will find the reception desk where one of the hosts will welcome you and give more information about the venue. Tickets: Sign up required. Anyone who is not on the list will not get in. The event is free of charge. Capacity: Space is limited to 100 participants. If you are signed up but unable to attend, please change your RSVP by March 26th. Food and drinks: Food and drinks will be provided. Questions: Please contact the meetup organizers.

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Code of Conduct The NumFOCUS Code of Conduct applies to this event; please familiarize yourself with it before attending. If you have any questions or concerns regarding the Code of Conduct, please contact the organizers.

The book explores the fundamental principles and transformative advancements in cutting-edge algorithmic technologies, detailing their application and impact on revolutionizing healthcare. This book provides an in-depth account of how technologies such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) are reshaping healthcare, transitioning from traditional diagnostic and treatment approaches to data-driven solutions that improve predictive accuracy and patient outcomes. The text also addresses the challenges and considerations associated with adopting these technologies, including ethical implications, data security concerns, and the need for human-centered approaches in algorithmic medicine. After introducing digital twin technology and its potential to enhance healthcare delivery, the book examines the broader effects of digital technology on the healthcare system. Subsequent chapters explore topics such as innovations in medical imaging, predictive analytics for improved patient outcomes, and deep learning algorithms for brain tumor detection. Other topics include generative adversarial networks (GANs), convolutional neural networks (CNNs), smart wearables for remote patient monitoring, effective IoT solutions, telemedicine advancements, and blockchain security for healthcare systems. The integration of biometric systems driven by AI, securing cyber-physical systems in healthcare, and digitizing wellness through electronic health records (EHRs) and electronic medical records (EMRs) are also discussed. The book concludes with an extensive case study comparing the impacts of various healthcare applications, offering insights and encouraging further research and innovation in this dynamic field. Audience This book is suitable for academicians and professionals in health informatics, bioinformatics, biomedical science and engineering, artificial intelligence, as well as clinicians, IT specialists, and policymakers in healthcare.

PART OF OUR "GENERATIVE AI FOR DATA EXECUTIVES" WEBINAR SERIES

Unlock the potential of automated machine learning (AutoML) in this expert panel, tailored to data executives. Join us as we explore the cutting-edge advancements that Generative AI brings to AutoML, revolutionizing the landscape of machine learning automation.

Attend this webinar to:

• Learn the latest techniques powered by Generative AI by discovering how these innovations are reshaping the landscape of automated machine learning.
• Find out how to democratize machine learning in your organization by integrating GenAI and AutoML.
• Explore how GenAI enhances the visibility and understanding of data, fostering a more comprehensive and proactive approach to maintaining data integrity and reliability.

REGISTER HERE

PLEASE REGISTER HERE: https://meetup-september10.kickstartai-events.org

PyData Eindhoven & Kickstart.ai We are very happy to announce that we are organizing the next PyData Eindhoven meetup in collaboration with Kickstart.ai! We will host this meetup at the AI Innovation Center, located at the High Tech Campus in Eindhoven.

This meetup is set to take place on September 10, 2024, at the Al Innovation Center in the High Tech Campus, Eindhoven. Mark your calendar and join us for an evening of insights, networking, and cutting-edge technology! Learn the ins and outs of cutting-edge Al and machine learning with our expert speakers, Merel Theisen (Principal Software Engineer at QuantumBlack) and Emilio Oldenziel (Machine Learning Engineer at Eraneos). Discover how software engineering principles can elevate machine learning projects and how Al is optimizing rail traffic control through innovative solutions. Come and connect with fellow Al experts at our Cutting-Edge Al and Machine Learning Innovations meetup, where you'll have the chance to learn from top experts in the field and share your own experiences. Our events provide a platform for collaboration and knowledge sharing, helping us all to advance in the fast-evolving world of Al. And after an evening of learning, enjoy networking drinks and bites, where our speakers will be available to chat and answer any questions you have about Al and machine learning.

Program

• 17:30 – 18:00 Doors Open
• 18:00 – 18:10 🎤 Welcome
• 18:10 – 19:00 🎤 Merel Theisen Principal Software Engineer, QuantumBlack - Embedding Software Engineering Best Practices into Machine Learning Projects with Kedro
• 19:00 – 19:15 🍕 Food
• 19:15 – 20:00 🎤 Emilio Oldenziel Machine Learning Engineer, Eraneos - Optimizing Rail Traffic Control using a Digital Twin and Reinforcement Learning
• 20:00-21:00 🥤 Drinks
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Embedding Software Engineering Best Practices into Machine Learning Projects with Kedro In this talk, I will explore how software engineering best practices such as modularity, separation of concerns, testability, and reproducibility can elevate the quality and deployability of machine learning projects. Focusing on the Kedro framework, I’ll uncover how these principles integrate into data workflows, making complex projects more manageable and scalable. Attendees will gain practical insights into improving project design, ensuring code quality, and facilitating smoother transitions to production environments. No extensive software engineering background is required, making this an accessible and informative session for all data professionals looking to enhance their knowledge of software principles through Kedro. About I am a Principal Software Engineer at QuantumBlack, where I am currently the tech lead of Kedro, an open-source project part of the Linux Foundation. I have over eight years of experience in the software industry, with most of my career focused on backend product engineering. I am passionate about building products that solve real user problems, and I care deeply about creating robust, well-tested software that follows good engineering principles. I am also a strong advocate for open-source software, and I find working with the community to be both inspiring and energising.

---- Optimizing Rail Traffic Control using a Digital Twin and Reinforcement Learning In this talk, I will do a deep dive into one of our recent customer cases. In the customer’s railway network, train frequency is high, with trains departing every 3 minutes at some stations. Consequently, even a small disruption can affect the punctuality of many subsequent trains. Train dispatchers are tasked with resolving conflicts efficiently to minimize delays. I will discuss how a Digital Twin and using Reinforcement Learning (RL) can support dispatchers in making smarter decisions and the challenges of implementing RL solutions. I will demonstrate how combining scientific and practical RL knowledge reduced delays by over 58,000 minutes annually. About Emilio is an expert in the field of machine learning. At the Eraneos Data & AI practice he is responsible for advising on, developing and implementing AI solutions. He has a background in computing science and has worked on AI projects for companies like Porsche, Deutsche Bahn, Enexis and HTM. Transport and Logistics is one of his industry focuses, where he sees a lot of value in applying AI.

Join us for an exciting journey into the world of data science with Python at the ActiveState PyData Ireland Meetup. Whether you're a seasoned data scientist, a developer, or just beginning your data science journey, our meetups provide an inclusive environment to learn, share, and connect with like-minded individuals.

Data Scientists use ActiveState, to spend more time on data science tasks and less time on system configuration. ActiveState provides pre-bundled with the data science packages you need like SeaBorn, NumPy, Pandas, Matplotlib, Jupyter, and Scikit-Learn.

Get started on your data science or machine learning project quicker than pip installing all the packages you need.

Talk 1:

• Topic: Unlock the Power of AI: Transforming Data Science
• Speaker Bio: Scott Robertson drives ActiveState’s tech vision with a focus on secure, reproducible builds from source code. With a background in Fortune 500 BI data and open source risk management, he leads teams developing a cutting-edge open source integration platform that is used by 97% of the fortune 100. Known for his engaging speaking style, Scott makes complex tech solutions sound simple.
• Talk Description: Scott will explain how cutting-edge tools and solutions are revolutionizing the field of data science. We will talk about AI innovations; discuss the feedback we are getting from Data Scientists and how that is shaping future solutions. Scott will outline the enhancements in Security and efficiency that can be gained by changing the way we think about ,and integrate, open source. Nibbles and refreshments will be provided!

Talk 2:

• Topic: How global regulations are changing how we leverage open source.
• Speaker Bio: Denis Barnett is passionate about Cyber Security he joined ActiveState after seeing supply chain attacks increasing rapidly. 1300% increase in last 3 years alone. Open source integration is the biggest issues facing many organizations, most of whom do not yet understand the scale of the problem. His favourite question is asking CISO’s and CTO’s if they know exactly what open source is being used in their environments?.. (they never do).
• Talk Description: An interactive chat about recent open source compliance developments. What is driving the increasing need to produce trustworthy SBOM’s, and what that means for the future of open source for Data Scientists. A look at why a huge spike in supply chain attacks are rapidly changing what is acceptable practice, and what can be done to be stay ahead of mounting dependencies and CVE’s, educating data scientist on what changes will affect them directly in the short and medium term.

Learn More:

• Python Cheatsheet: Tips and Tricks for Machine Learning
• Python Package Management Guide for Enterprise Developers

Hello everyone! Firstly I just want to say thank you for the continued support for Data & AI London and to return the favour I think we have a super special meet up for number 9..

The format for our 9th instalment will be slightly different to usual.. For the first half of the meet up we are going to have 3 lightening talks from Product leaders within the Data & AI space. The 2nd half we will move into a panel discussion with questions from our MC Toby Pritchard and you, the audience!

Stefania Bonà \| Head of AI Products @ Trustly The AI FOMO: why LLMs won't save my world In the midst of ChatGPT fever, AI's allure is undeniable. Let's yet rewind to product fundamentals: technology is an enabler to solve specific customers' problems.

About me: Stefania Bonà is a leader in payments and data, currently working as the Head of AI Products at Trustly North America, tapping into the account-to-account payments building products leveraging open banking. Before joining Trustly, she worked as a Data Science & Machine Learning Engineering Senior Product Manager at Checkout.com, and as EMEA Gift Cards Payments Product Manager at Amazon. She has over 11 years of experience in risk, machine learning and AI technologies.

Danny Ivatt \| Product Director @ Mesh-AI It’s Not About Chat! Why the allure of the Chat GPT ‘shop window’ risks adding complexity to the user experience rather than removing it.

• Lessons from history - Semantic search and call centres.
• Foundational principles for user experience
• How to think about using LLMs in applications
• Problem solving agents and the valuable user experiences they can help create
• Key takeaways

About Me: Danny is Product Director at Mesh-AI. He focuses on the development of product practice in the data & AI age as well as leading transformational product development engagements with large enterprises. Danny’s background is in consumer facing product development, before moving into the spaghetti-and-meatballs tangle that is data and a focus on whole-organisation alignment to product principles.

Chandni Kumar \| Data Products @ Expedia Group Monetization of Data and AI products Let's dive into monetization of data and AI products that can turn cutting-edge innovations into profitable ventures.

About me: Chandni is presently with the globally renowned travel tech company Expedia Group as the Product Lead across several Data and A initiatives. Prior to this, her career in Data and Product has spanned across a variety of prestigious organizations including McDonald's, Royal Mail Group, and Bally’s Corporation. She is passionate about harnessing the power of data for building impactful products that drive business growth and enhance customer experiences.

Please aim to arrive at 6pm. The talks will start around 6.30pm (give or take a few mins) and there will be pizza and refreshments as always on arrival :) Look forward to seeing you all soon!

This is an in person event taking place in Paris, France. Please register here: Microsoft AI Tour

Register today for Microsoft AI Tour in Paris. This free event helps developers discover new opportunities with AI and advance their knowledge and skills to deliver more value faster with the power of AI and Microsoft Azure. Join Microsoft product and engineering experts to share ideas and unleash creativity with the power of AI. Who should attend:

• Developers, data scientists and cutting-edge technologists

During this event, you’ll be able to:

• Discover new opportunities with generative AI and be the first to learn about the latest innovations.
• Connect with Microsoft engineers and industry experts.
• Learn how to speed up your coding process with generative AI-assisted workflows that offer simple code suggestions to full assembly.
• Explore how to infuse responsible AI practices throughout your development lifecycle with state-of-the-art tools.

Here’s what to expect:

• Immersive Workshops*: Bring your own device and join a 75-minute immersive workshop on topics like build your own Copilots with Microsoft Copilot Studio, implement data science and machine learning for AI with Microsoft Fabric, and learn how to interact with OpenAI models.
• Connection Hub: Connect and learn with one-to-one meetings with experts, and spaces to collaborate with other developers and industry leaders to help solve your technical questions.
• Evening Mixer: Come together with speakers, industry leaders, and the developer community to continue your conversations, mix and mingle, and have a little fun.
• Opening Keynote: Learn what developers need to know about AI today, and explore new paths forward in your organization and career.
• Breakout Sessions: Dive into topics like:
• What's New in Generative AI?
• Build powerful AI apps with Copilot in Microsoft Fabric
• Extend Microsoft 365 Copilot with your line of business apps and data
• Multimodal Conversational Interfaces with GPT and Vision AI
• And more...

Register now to learn what every developer needs to know about AI today! Arrive early for registration and beat the rush for Keynote access! Arriving early for registration secures your spot in the Keynote hall and gives you a head start on networking with fellow attendees. *Space limited, seating is first come first serve Microsoft and NVIDIA are partnering across the Microsoft AI Tour – bringing technical content and AI scenarios to developers and creators around the globe. Advance your knowledge and skills by joining these expert-led sessions, workshops and theatre presentations:

• Accelerate Building Your Custom Model with NVIDIA DGX Cloud on Azure
• Deploying Production AI on Azure with NVIDIA AI
• Develop and Deploy Generative AI with Ease using NVIDIA AI on Azure
• Train custom models and deploy to production with an AI foundry

Welcome to the cutting-edge world of artificial intelligence! The Microsoft AI Show Online Events Series is a captivating and informative journey into the domain of AI, designed to empower individuals and organizations alike, and inspire them to embrace the future of intelligent technology. In this series, we explore the limitless possibilities and transformative potential of AI, providing you with invaluable insights, expert guidance, and real-world applications. With each episode, we dive deep into the latest advancements, trends, and innovations in AI, showcasing how Microsoft's AI technologies are revolutionizing industries and driving impactful change across the globe.

Session 1:

Building Intelligent Applications with Azure Cognitive Services: An Overview

In this session, we'll take a high-level look at how Azure Cognitive Services can be used to build intelligent applications that leverage artificial intelligence (AI) and machine learning (ML) capabilities. We'll explore the various cognitive services offered by Azure, and discuss how they can be used to enhance your applications with features such as speech recognition, language translation, computer vision, and more. Whether you're a developer who wants to add intelligence to your apps, or an organization looking to leverage AI to improve your operations, this session will provide you with a solid understanding of what Azure Cognitive Services can do for you.

Victor Rodrigues, MEA Enterprise Digital Specialist - Data & AI, Microsoft

Session 2:

Blackmirror - Creating your digital twin Starting from a set of sentences describing your personality, thoughts, hobbies, and personal info we will create a digital copy of you to interact with. The combined architecture of a vanilla version of GPT-2 and specialized DL models will allow you to perform varied tasks in a cost-effective approach Moreover, we will create a DL model capable of profiling users in real-time, based on the ongoing conversation with our Digital Twins. The Digital Twins are responsible for acquiring key info that will be extracted by conditioning the flow of the conversation in order to allow you to make important marketing decisions. There will be a quick demonstration showing you how to utilize this solution to profile live conversations between "humans", or even a youtube video. Microsoft Azure, as well huggingface, will speed up the whole process

Speaker: Sebastiano Galazzo, CTO, Synapsia AI

Session 3:

Empower your app with computer vision

Do you know how AI can see the world around us? Do you know how AI can generate a picture of a seaside landscape in a photorealistic style? In this session, we are going to demystify computer vision and image generation to show you how you can embed them into your applications using Azure services.

Hadeel Shubair, Cloud Advocate for the Microsoft Reactor. Carlotta Castelluccio, Cloud Advocate at Microsoft.

Moderator: Lior Armiev, Microsoft AI MVP & Data & Ai Architect at Deloitte