Synthetic Intelligence is altering industries quick. This shift is powered by massive language fashions, good agent methods, and nearer human–AI teamwork. From voice assistants that catch delicate that means to AI groups fixing huge duties, we’re shifting from single fashions to related, good methods.
In as we speak’s whirlwind of speedy change, it’s straightforward to really feel lost-unsure the place to be taught, who to observe, or methods to actually perceive what’s unfolding round you. The true problem? Discovering the proper people- these quietly shaping the longer term in area of interest, cutting-edge fields. And discovering them multi functional place? That’s nearly remarkable.
Till now.
We’re internet hosting a one-stop expertise designed to chop via the noise. An area the place business consultants maintain deep-dive hack periods, providing readability, path, and real-world insights you gained’t discover in scattered blogs or limitless movies.
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DataHack Summit 2025 brings collectively international consultants shaping this future. The periods combine deep technical concepts with real-world drawback statements. Whether or not you’re an engineer, AI skilled, product chief, or simply an AI fanatic, these periods will present you the place the sector is heading.
This convention is extra than simply talks and keynotes. It’s a mixture of daring concepts, actual connections, and hands-on studying. With audio system from huge giants like Microsoft, NVIDIA, AG2, and extra, you’ll get inside views on AI fashions, protected autonomous methods and the way people and AI can create collectively.
Listed below are ten hack periods that supply each contemporary pondering and insightful takeaways you should use straight away should you select to attend these periods.
AI Voice Agent: The Way forward for Human-Pc Interplay
Voice is rapidly beating screens as the best manner to make use of tech. This session explores how new voice brokers mix generative AI, speech tech, and real-time synthesis to make easy interactions. Audio system share actual use instances, from bots dealing with robust inquiries to well being assistants serving to sufferers. You’ll find out how system design impacts the velocity and pure movement of the brokers. By the top, you’ll know methods to construct voice apps that really feel extra human.
You’ll additionally see how AI fashions and speech instruments come collectively to energy fashionable voice brokers. The session exhibits how good system design retains solutions quick and correct. You’ll hear tales from buyer help and healthcare, the place voice AI is making a distinction. Lastly, you’ll get suggestions for coaching brokers to sound extra actual, serving to you create higher, extra human conversations.
Audio system
- Manoranjan Rajguru – AI Architect, Microsoft
- Ranjani Mani – Director & Nation Head (Generative AI, India & South Asia), Microsoft
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A Visible Information to Consideration Mechanism in LLMs
Consideration is what helps massive language fashions concentrate on the proper phrases on the proper time. This session breaks it down with easy diagrams that present how question, key, and worth matrices work. You’ll see visible examples, like gravity models- that assist make these advanced concepts straightforward to know. The session explains why consideration is essential to coherence and maintaining context. It’s nice for anybody who desires to actually perceive considered one of AI’s most helpful instruments.
By the top, you’ll know the way consideration helps generate fluent, related textual content, and the way queries, keys, and values form what the mannequin focuses on. Visible comparisons make the maths simpler to know. You’ll construct a psychological mannequin that helps you debug and fine-tune LLMs extra simply.
Speaker
Luis Serrano – Founder and Chief Schooling Officer, Serrano Academy
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From LLMs to Agentic AI: Fixing New Issues with Multi-Agent Methods
Consider LLMs not as lone staff, however as a team-each agent has a job and ability. This session exhibits how multi-agent methods divide duties, enhance flows, and remedy issues that one mannequin can’t. You’ll be taught why single LLMs wrestle with advanced jobs and the way instruments like CrewAI assist brokers plan, act, and examine outcomes. Actual use instances present how these methods adapt when objectives change. You’ll depart able to construct groups of AI brokers that may develop and work collectively.
You’ll additionally be taught the distinction between single fashions and agentic methods, and methods to break up jobs throughout specialised brokers. The session exhibits you methods to use CrewAI to handle these brokers and shares examples that show how scalable and versatile this setup is.
Speaker
Alessandro Romano – Senior Information Scientist. Kuehne+Nagel
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Quantifying Our Confidence in Neural Networks and AI
Trusting AI blindly can result in huge errors, particularly when the stakes are excessive. This session appears to be like on the key query: “how certain is certain sufficient?” You’ll see easy neural nets make daring errors. Then, you’ll be taught two methods to measure how assured fashions are-Bayesian and ensemble strategies. Lastly, the session exhibits methods to use these instruments in bigger fashions like LLMs. You’ll stroll away with instruments to make your AI extra sincere and safer.
The speak explains why AI confidence issues, and walks via two sturdy methods to measure it. You’ll see methods to use them on each small and large fashions. It additionally shares concepts for placing these instruments into actual methods so your AI works higher and safer in the actual world.
Speaker
Joshua Starmer – Founder and CEO, StatQuest
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Agentic AI Meets Accountable AI: Designing Secure Autonomous Methods
Sensible brokers can act, suppose, and sense however in addition they want guidelines. This session exhibits methods to add equity, openness, and management into agentic AI. You’ll dive into actual points like objectives going flawed and bizarre behaviors that weren’t deliberate. Case research present methods to observe brokers’ lives and implement security guidelines. By the top, you’ll know methods to construct AI that not solely works but additionally follows values we care about.
You’ll additionally be taught the core moral concepts that information agentic methods and methods to keep away from widespread issues like system drift or misbehavior. The session provides you instruments to observe brokers in real-time and construct methods that keep truthful and clear.
Speaker
Praveen Kumar GS – Senior Director, Samsung Analysis
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Human-In-The-Loop Agentic Methods
Even good brokers need assistance from individuals when issues get tough. This session exhibits how combining human planning with AI motion can increase success. You’ll take a look at system designs that blend human pondering with agent velocity, utilizing instruments like LangGraph and Pydantic-AI. Actual examples present how human checks catch errors earlier than they develop. You’ll depart with stable plans for constructing these hybrid methods.
The session dives into methods to combine human choices into AI methods, and provides an outline of instruments like LangGraph and Pydantic-AI. You’ll see how human steerage reduces agent errors, and be taught good methods to construct methods that stability each side.
Speaker
Deepak Sharma – Senior Machine Studying Engineer, DeepMind
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AI isn’t right here to exchange creators-it can help them in increasing inventive horizons. This session exhibits ReAct-style setups the place individuals begin concepts and AI builds first variations. You’ll discover ways to use open instruments like Steady Diffusion, LoRAs, and IPAdapters to make higher content material. The session additionally exhibits methods to add suggestions loops that use scoring to refine your outcomes. Whether or not you’re in design, movie, or adverts, you’ll discover ways to combine your concepts with AI’s energy.
You’ll construct ReAct workflows for teamwork between people and AI, use instruments like Steady Diffusion and LoRAs, and discover ways to rating and enhance outcomes. This session helps you scale your inventive work utilizing good AI pipelines.
Speaker
Dhruv Nair – Machine Studying Engineer, Hugging Face
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Constructing Actual-Time Multi-Agent AI for Public Journey Methods
Trendy cities want transport methods that may react and adapt quick to totally different conditions. This session exhibits how multi-agent AI can regulate routes and schedules in actual time. You’ll see how Microsoft’s setup lets brokers spot points, provide new routes, and hold passengers knowledgeable. You’ll additionally be taught design suggestions for methods that keep sturdy beneath strain. Should you care about good metropolis journey, this session has real-world plans you should use.
You’ll discover ways to construct brokers that hold watch over transit, methods to react to issues as they occur, and methods to alert individuals straight away. It additionally covers Microsoft instruments that make these methods scalable and dependable.
Speaker
Manpreet Singh – Information & Utilized Scientist II, Microsoft
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Agent to Agent Protocol: Advantages and Workflows
For brokers to work collectively, they want a standard language to speak. The Agent-to-Agent (A2A) Protocol units the principles, serving to brokers share objectives, updates, and selections. This session covers the protocol fundamentals and exhibits how brokers workforce up, remedy issues, and lift flags when wanted. You’ll additionally get recommendations on methods to use this setup in your methods.
You’ll be taught what the A2A Protocol is, the way it makes agent teamwork simpler, and methods to use it to maintain your methods easy and future-ready. The speak contains examples of workflows and clear steps for easy integration.
Speaker
Avinash Pathak – Senior AI Engineer, NVIDIA
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Agentic Information Augmented Era: The Subsequent Leap After RAG
Uncover how Agentic Information Augmented Era (KAG) takes RAG to the subsequent stage! Whereas RAG improves fashions by retrieving paperwork, KAG makes use of clever brokers to construct and navigate data graphs for deeper insights. On this session, discover strategies to rework unstructured textual content into structured data graphs and combine them with graph databases for richer mannequin inputs.
See firsthand the constraints of conventional RAG and the way KAG bridges these gaps. The workshop covers end-to-end workflows, together with graph development, database linking, and agent-based reasoning—all powered by LangGraph. Be taught to construct AI methods that don’t simply retrieve info however actually perceive context by leveraging dynamic data graphs.
By the top, you’ll know methods to deploy multi-agent methods that analyze interconnected knowledge sources, unlocking smarter, extra interpretable AI options
Speaker
Arun Prakash Asokan – Affiliate Director- Information Science, Novartis
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Conclusion
DataHack Summit 2025 is extra than simply an AI conference- it’s the place the way forward for AI takes form. These periods don’t simply train; they discover what’s subsequent. With audio system from prime corporations and real-world use instances throughout industries, you’ll get a front-row take a look at how AI is fixing advanced issues as we speak and the place it’s heading tomorrow.
On this alternative to hitch such insightful periods in individual, you’ll depart with extra than simply notes. You’ll shift how you concentrate on human–AI collaboration, how fashions can evolve, and the way good methods could be each helpful and accountable. This Summit isn’t about watching traits, it’s about being a part of them. If you would like sensible instruments, contemporary concepts, and a peek at what’s coming subsequent, that is the place you’ll discover it.
With a profession spanning 5 years, Swati has labored with prime establishments to curate content material for them.
A software program engineer, knowledge science fanatic, and a stickler for grammar who at all times jumps at each probability to discover meals, life, and mysterious theories. A Potterhead with a ardour for Psychology, she is at all times up for studying new theories on life. She finds herself amused with books, podcasts, and vlogs that add worth to life.
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