In this session, we will demo and discuss the four central pillars of an enterprise strategy to realize true ""Gen-BI"" - the infusion of Gen-AI and LLMs into your business and decision intelligence capabilities.

        • Direct operations on any data source, accessible to any user 

        • Sophisticated request handling through the simplicity of conversational speech 

        • The 'Multi-LLM' strategy - to bring the right model for the right data set

        • Security so you can tap into Gen-AI without concern

Every organisation is facing retention challenges and fighting the war for talent, especially data teams (and data skills for the broader business). But you might be looking in the wrong place for solutions -- your valued people are already there, with the needed domain knowledge. Funded by the levy and harnessing the power of applied learning, professional apprenticeships across data, tech and AI can help tap into this pipeline ready to be upskilled and re-skilled. Whether serving internal stakeholders or external customers is your north star, building data capability across the organisation to inform your strategy and stay ahead of the competition is table stakes in today’s world.

Join Pedro and Louisa to explore:

How Laing O’Rourke plans to enhance workforce capability to underpin a data revolution that will enable comprehensive organisational transformation

Creating a thriving data culture to set your organisation up for continuous upskilling at scale

How to ensure you’re tying business value to your data strategy

You are under relentless pressure to prepare for massive data growth, empower end users, and reduce application sprawl, all while building the infrastructure needed for AI adoption and securely sharing data across entities. The urgency to cut the overhead of delivering data products has never been greater, demanding a unified approach to these challenges.

See how Sigma and Sigma's customers have consolidated and even eliminated applications, built highly leveraged data products and, most importantly, put self-service data in the hands of everyone at the enterprise.

Data & AI are both powerful technologies and catalysts for organisational transformation, but both should be aligned with your business strategy - your 'why' - and their investment not be the end itself. In this session we will explore how data and AI capabilities align with strategic organisational goals and discuss five key value drivers in successful data and AI strategies that create the business case for investment. 

Join us as John Readman, Founder & Product owner of ASK BOSCO®, unveils how their cutting-edge AI Marketing Platform is revolutionising the industry with ThoughtSpot’s powerful TSE solution. From overcoming frustrating limitations with previous platforms to embracing AI for explosive growth, John will share their exciting journey and vision. Don’t miss this chance to see how ASK BOSCO® is setting new standards and why ThoughtSpot is their game-changer. Be part of this transformative session and witness the future of analytics in action! John will be joined by Cindi Howson Chief Data Strategy Officer at ThoughtSpot and Host of award winning The Data Chief podcast.

The success of AI initiatives hinges on DATA. According to recent research, only 10% of enterprises will achieve the expected ROI from their Generative AI deployments, with data quality issues being the most cited reason for failure. The core message is clear: 'You are as AI-ready as your data.' This session will explore practical approaches to overcoming common data challenges and ensuring your data meets the specific requirements of AI techniques.

Key Takeaways:

• Understanding AI Readiness & how to assess it?

• AI-Ready Data: Two core Foundations

• Build a scalable data infrastructure that accelerates AI deployment and innovation. DQLabs Framework & Practical Approaches to fix your data problems.

In a world where speed and precision are paramount, DirectlyApply harnesses the power of real-time AI to revolutionise the job search experience. Join Dylan Buckley, CTO and co-founder, as he explores how DirectlyApply’s innovative use of SingleStore’s data platform has driven a 10x boost in user engagement by delivering ultra personalised job matches with unparalleled speed and accuracy, increasing application success — delighting both job seekers and employers.

In today's data-driven landscape, the ability to efficiently harness the power of AI is crucial for businesses seeking to unlock valuable insights and drive innovation. This session will explore how BigQuery, Google Cloud's leading data warehouse solution, can accelerate your AI initiatives. Discover how BigQuery's serverless architecture, built-in machine learning capabilities, and seamless integration with Google Cloud's AI ecosystem empower you to build, train, and deploy ML models at scale. Whether you're a data scientist, engineer, or business leader, this session will provide you with actionable insights and strategies to supercharge your AI efforts with BigQuery.

As technology evolves and organizations shift from digital to AI-native, data becomes the cornerstone of innovation. AI both relies and thrives on data, transforming raw information into valuable insights. This session explores how empathy—through trust and openness—plays a crucial role in creating resilient data, analytics, and AI platforms. Join us to examine emerging trends and technologies that can unlock the full potential of your data. We will discover why embracing empathy in your technological infrastructure fosters more adaptable, reliable, and effective data-driven solutions. Additionally, you'll learn how your technological infrastructure can ensure a stronger path to success in the AI era.

Join this session where Precisely and Generali will share real-world AI Data ready successes.

Artificial Intelligence (AI) has become a strategic imperative in a rapidly evolving business landscape. However, the rush to embrace AI comes with risks, as illustrated by instances of AI-generated content with fake citations and potentially dangerous recommendations. The critical factor underpinning trustworthy AI is data integrity, ensuring data is accurate, consistent, and full of rich context.

If doubts about data integrity are slowing down AI projects in your organisation, join this session where Precisely and Generali will share real-world successes and the three critical factors you must address to ensure that your data minimises AI bias and hallucination while producing nuanced, coherent, and contextually relevant responses.

During this presentation you will:

• Understand the impacts around delivering data that is not AI-ready.

• Hear real world considerations in bringing accuracy, consistency, and relevance to your AI models.

• Uncover practical solutions to common AI challenges such as AI bias, and lack of contextual relevance.

Está no ar, o Data Hackers News 47!! Os assuntos mais quentes da semana, com as principais notícias da área de Dados, IA e Tecnologia, que você também encontra na nossa Newsletter semanal, agora no Podcast do Data Hackers!

Homem é preso por criar músicas com IA, programar robôs pra ouvir e embolsar royalties; Amazon pede que funcionários retornem ao escritório 5 dias por semana;⁠ OpenAI o1 é o novo modelo da OpenAI;⁠

Para saber tudo sobre o que está acontecendo na área de dados, se inscreva na Newsletter semanal:

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.datahackers.news/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Conheça nossos comentaristas do Data Hackers News:

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Monique Femme⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Paulo Vasconcellos

⁠Matérias/assuntos comentados:

Amazon pede que funcionários retornem ao escritório 5 dias por semana; OpenAI o1 é o novo modelo da OpenAI; Homem é preso após criar banda falsa com IA, coloca robôs pra ouvir e faturas 10 milhões de dólares;

Baixe o relatório completo do State of Data Brazil e os highlights da pesquisa: https://stateofdata.datahackers.com.br/

Demais canais do Data Hackers:

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Everyone wants to utilise AI, but not everyone knows how. This talk unpacks what it takes to become 'AI Ready' with some relevant examples.

Everyone wants to utilise AI, but not everyone knows how. This talk unpacks what it takes to become "AI Ready"

Snowflake had a big challenge: How do you enable a team of 1,000 sales engineers and field CTOs to successfully deploy over 100 new data products per week and demonstrate every feature and capability in the Snowflake AI Data Cloud tailored to different customer needs?

In this session, Andrew Helgeson, Manager of Technology Platform Alliances at Snowflake, and Guy Adams, CTO at DataOps.live, will explain how Snowflake builds and deploys hundreds of data products using DataOps.live. Join us for a deep dive into Snowflake's innovative approach to automating complex data product deployment — and to learn how Snowflake Solutions Central revolutionizes solution discovery and deployment to drive customer success.

Why Attend? You'll walk away with a comprehensive understanding of various GenAI models, their practical applications, and the strategies to harness their full potential responsibly.

• Discover the functionality of key GenAI models, including GPT, Gemini, and Open-source alternatives. 

• Learn how AI assistants, business process automation, co-pilots, and autonomous agents can work for your business. 

• Understand what each model excels at and where improvements are needed. We’ll provide a clear, comparative analysis to help you understand their capabilities and limitations. 

• Learn how we can ensure we are following responsible AI principles

• Explore the services and techniques that enhance the capability of GenAI. 

• Learn how to get AI to work for you and identify the skills your workforce needs going forward to excel in the era of AI.

Explore the symbiotic relation- ship between AI and data products. Discover how these advancements democratize data access, empowering Data Leaders to bridge the gap between IT, Data Owners, and Business Users. Gain insights on how to convert raw data into actionable insights for enterprise-scale operations. Learn strategies to leverage data as a strategic asset, overcoming challenges like data silos, guiding organizations towards sustainable data use, and unlocking transformative power in the AI era.