Hyperight Read
Context is everything in human communication. AI models, however, struggle with context. Last year, OpenAI’s GPT-4 made strides in understanding context by integrating visual and textual information. Yet, it still struggles with implicit meaning. While AI advances, fully understanding context, including emotional tone, remains a challenge.
Empowering Teams with Data: Steps to Implement Data-Driven Culture. Data might be the heartbeat of a business, but that doesn’t mean it drives how teams work every day. The challenge isn’t just having the right tools – it’s making data a natural part of how people make decisions. It takes a culture where data isn’t just ‘used’ but truly valued. A data-driven culture begins with leadership, but it requires everyone in the organization. How do you make it happen?
As organizations embrace AI, scalability becomes essential to ensure models perform well and are sustainable. This is where MLOps, or Machine Learning Operations, comes in. It ensures AI models are deployed, scaled, and maintained efficiently. This article dives into customizing AI with proprietary data, data-centric vs. model-centric approaches, and MLOps for reproducibility. All discussed at the Data Innovation Summit’s Machine Learning & Generative AI Stage!
Building the Backbone of AI: How DataOps is Revolutionizing Model Deployment. Behind every AI application, there’s a vital component: the data pipeline. DataOps, an approach to data management, is crucial in scaling and optimizing these pipelines. This article explores how DataOps transforms the AI landscape and how businesses can benefit from the latest trends discussed at the upcoming Data Innovation Summit 2025, at the Data Engineering & DataOps Stage. This stage will feature discussions on building scalable and resilient data pipelines, designing high-availability systems, optimizing MLOps pipelines, and leveraging technologies for metadata management and data quality.
Businesses are drowning in an ocean of information – scattered, decentralized, and growing at an exponential rate. Managing this vast landscape while maintaining scalability, flexibility, and security is no small feat. Data mesh and fabric offer a solution, providing modern frameworks to structure and govern data effectively. The challenge? Building a data architecture that can keep up with the demands of modern enterprises.
Imagine talking to a machine that understands your words and senses your emotions. That’s the power of emotional AI. This technology lets machines interpret and respond to human emotions. Not long ago, AI was limited to tasks like processing data or making decisions. Today, it’s evolving to pick up on emotional cues in speech, text, and facial expressions. Why does this matter?
Can AI agents be trusted? AI agents are quickly becoming part of our daily lives. But as they get smarter, can we trust them? While AI agents bring undeniable benefits, we can’t overlook the risks and ethical concerns about their autonomy. They’re still influenced by human input, leaving room for unpredictability.
News, Articles, and Reports
The EU’s AI Act Starts to Apply as of February 2, 2025. This alert summarizes the new obligations that will apply as of February 2, 2025. It also indicates when companies can expect the first enforcement actions, and what the enforcement regime will look like.
Big news from the European Commission! They’ve launched a €200 billion initiative to place Europe at the forefront of AI innovation, marking the largest AI investment in history. President Ursula von der Leyen announced on February 11th that the InvestAI initiative will position Europe as a global leader in AI development. The EU will contribute €50 billion to the initiative, with the remaining funding coming from private investors and industry partners. This investment will boost Europe’s technological strength and ensure that AI growth is aligned with ethical values and societal benefits.
French startup Mistral AI is making waves in the AI world with the launch of Le Chat. It’s a high-speed, next-generation AI assistant designed to boost productivity. Unlike your average chatbot, Le Chat isn’t just about casual conversation. It’s built to help you draft reports, write code, and access real-time insights with lightning speed. It goes head-to-head with giants like ChatGPT, Copilot, and Gemini.
DeepSeek’s Rise Surpassed ChatGPT and Challenged AI Giants. Chinese startup DeepSeek has shattered expectations and claimed a powerful spot in the fiercely competitive AI race. DeepSeek’s AI Assistant app surged past OpenAI’s ChatGPT to become the top free app in the U.S. Apple App Store. What’s driving this rise? At the core of it lies DeepSeek’s AI model, DeepSeek-R1. DeepSeek offers performance that rivals the best from OpenAI and Google, yet operates with much lower training costs.
OpenAI Launches Deep Research: Advancing AI-Assisted Investigation. OpenAI has launched Deep Research, a new agent within ChatGPT designed to conduct in-depth, multi-step investigations across the web. Deep Research automates time-consuming research by retrieving, analyzing, and synthesizing online information.
OpenAI’s new o3-mini is a game-changer in AI, offering a powerful reasoning model that’s capturing attention for its speed, efficiency, and cost-effectiveness. Tailored for industries that demand quick, accurate processing, like STEM fields, this model is shaking up the AI landscape. With the release of the o3-mini, OpenAI is pushing the boundaries of performance. It’s also positioning the model in direct competition with rising challengers like DeepSeek.
OpenAI introduced Operator, an AI agent that performs computer tasks autonomously, making everyday digital interactions easier and more efficient. Operator utilizes OpenAI’s advanced GPT-4 language model, enabling users to delegate various tasks like managing emails, booking appointments, and navigating websites. This technology brings AI-driven automation to personal and professional workflows, allowing users to interact with digital tools using natural language.
Perplexity Assistant: A New Rival to ChatGPT, Now Available for Android. Perplexity, the AI search engine company, has announced the launch of its AI assistant for Android devices. This move captures the rapidly expanding AI assistant market. This new offering challenges well-established players like Amazon’s Alexa, Apple’s Siri, and Google’s Assistant. It even competes with generative models such as OpenAI’s ChatGPT!
Interviews
Why Do Data Transformations Fall Apart When the Leader Leaves? Successful data transformations require more than just a visionary leader – they need a sustainable foundation to withstand leadership changes. In this interview, we speak with Caroline Carruthers, a Data Leader with experience in managing complex data and technology transformations! Caroline shares insights on why relying on the leader alone can be risky and how organizations can build long-lasting data strategies.
Driving Data-Driven Culture: Humanizing the Data Skillset & Mindset. In this interview, Gautam Verma, Head of Data Enablement at the Department of Government Enablement (DGE), discusses how technical capabilities can meet real-world business needs. With nearly 15 years of expertise in data governance, strategy, and AI, Gautam reveals steps to create a data-driven culture. Discover how to humanize your data strategies, inspire cultural change, and empower teams with data-driven decision-making.
Data Platform Modernization: Support Cloud Capabilities with Legacy Platforms. In this interview, we speak with Jonas Blomqvist and Vishal Gangapuram. Jonas and Vishal play a key role in driving the modernization of Scandinavian Airlines’ (SAS) data and analytics platforms. In this interview, they discuss the challenges of combining legacy systems with modern cloud capabilities, emphasizing the importance of governance and change management.
From Big Data to Big Insights: How to Build Scalable Systems for Actionable Intelligence. In this interview, we speak with Dmytro Basan from Klarna! Dmytro shares key strategies for designing scalable, high-performance data systems. As data grows exponentially, scalable architectures are essential for transforming information into actionable insights.
AI After Work Podcast
Episode 143: Revolutionizing AI and Autonomous Systems with Pier Luigi Dovesi. This episode features Pier Luigi Dovesi! Luigi, an AI Scientist at AMD and Silo AI, and Co-Founder of The Good AI Lab (GAL)! Pier Luigi shares his journey from smart cities and autonomous driving at Univrses and Zenseact to generative AI and robotics breakthroughs. He discusses challenges in automotive AI, the Tesla vs. Waymo debate, and the value of synthetic data. We also explore the future of AGI, diversity in AI, and innovation’s role in creating a more inclusive tech landscape.
Episode 144: Scaling the Value of AI in the Public Sector with Grigonyte Gintare. This episode features Grigonyte Gintare, who shares how she’s modernizing the Swedish Tax Authority’s digital solutions with AI and scaling its impact in large organizations! Grigonyte also dives into open-source LLMs, the EU AI Act, and ethical AI innovation. Through real-world challenges and successes, she offers insights from her work at the intersection of AI and public sector transformation.
Episode 145: AI Transforms Journalism with Hans Hjelm and Magnus Engström. This episode dives into how AI is transforming journalism. Our guests, Hans Hjelm, Product Owner Data Science at Bonnier News, and Magnus Engström, Head of Architecture and Data, share their insights. They discuss digital transformation, the rise of generative AI, and how data science fuels newsroom innovation. What’s next? Will AI reshape news production over the next decade? Can human journalists stay at the center, or are we heading toward fully AI-assisted newsrooms?
Episode 146: AI and the Future of Healthcare with Carl Fredrik Swic and Kenneth Ilvall. In this episode, we talk with Carl-Fredrik Swic, Founder & CEO of Mediqtech, and Kenneth Ilvall, Chief Medical Officer, about how AI is reshaping healthcare. They share Mediqtech’s mission to ease administrative burdens with tools like Luna, which reduces paperwork for doctors, and Maly, which detects journal discrepancies to improve medical record accuracy. We also explore the biggest challenges in AI adoption – technology, regulations, and professional resistance – and how Mediqtech is tackling them.
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Data Innovation Summit 2025 X Edition
Join the biggest gathering of Data, Analytics, and AI pioneers at the 10th anniversary of the Data Innovation Summit in Stockholm! TICKETS ARE NOW AVAILABLE for this landmark event!
Over the past decade, the Data Innovation Summit has ignited change, uniting thousands of experts, innovators, and visionaries. Whether you’re a long-time attendee or joining us for the first time, this year’s summit promises to be the largest and most inspiring yet. Mark your calendars for May 7-8, 2025—attend in Stockholm or online via Agorify.
Celebrate with us:
- A decade of breakthrough data and AI innovations.
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- A decade of industry-changing insights from top enterprises.
Join us for this milestone event filled with engaging workshops and cutting-edge research! Connect with over 3,000 peers from the Nordics and beyond.
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Data Innovation Summit MEA 2025
Get ready for the most impactful annual event in data, analytics, and AI! An event that brings together the brightest minds and top innovators. The Data Innovation Summit MEA is where professionals from all sectors converge. Enterprise practitioners, technology providers, start up visionaries, and academics gather to explore AI-driven transformation.
This year’s focus is on applied data innovation, data science, big data, and machine learning. We’ll also dive into applied AI, generative AI, data management, and data engineering. Topics like databases and DevOps will be showcased. These technologies drive change across industries and organizations.
Over 50 international speakers will share insights. More than 1500 case studies will be presented. The event spans four stages, two interactive workshop rooms, and 30+ TIP sessions. It’s a prime opportunity for learning and networking. You’ll engage in discussions about enhancing customer experiences. We’ll also explore optimizing operations, driving sustainability, and reinventing business models. Plus, you’ll discover how to create innovative, data-driven products and services.
Be part of this transformative experience. We can’t wait to see you there!
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