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Welcome to the Future Says Series

Some of the industry’s leading figures will be sharing their unique experiences leveraging data and insights in our rapidly evolving, digital world. Brought to you by Altair, we'll be shining a light on the complex data challenges organizations are increasingly encountering and starting the debate on how to move #OnlyForward.

This series is perfect for anybody working with and analyzing complex data in their organizations.
 

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Episode 1: Future Says... Ethical AI

 

Aiko Yamashita, Senior Data Scientist at CoE Advanced Analytics, DNB

Aiko has a background in Informatics with a PhD in experimental software engineering. Aiko has 10+ years of experience in data analytics within the logistics, retail, and finance industries. She currently works as a Senior Data Scientist at the Centre of Excellence in Advanced Analytics at DNB - identifying and enabling key analytics initiatives in Scandinavia’s largest bank. Aiko is also an Adjunct Associate Professor at OsloMet – Oslo Metropolitan University - where she has taught courses in Data Science and supervised students.

As a strong believer in the responsible use of data, AI, and technology in general, Aiko is a passionate advocate for data literacy in DNB and will be talking about the risks and rewards of adopting a digital-first approach.

During this episode, we will discuss:

  • Why failure to operationalize an ethical AI strategy is a distinct threat to organizational bottom lines and reputations
  • Why requirements for due diligence and reporting on AI are only going to be increasing in importance
  • The reason why energy use is a relevant ethical value when reporting on AI

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Episode 2: Future Says... AI Business Model Innovation

 

Girish Agarwal, Chief Information & Digital Officer, Piab

Girish has over 15 years of combined IT and Digital Industry experience at architecture and leadership levels. He has just recently stepped back from his role as Director of the AI Lab at Husqvarna to take up a new position as Chief Information and Digital Officer at Piab – the firm evolving automation through progressive gripping, lifting, and moving solutions since 1951. Away from his industry work, Girish is also a PhD fellow at KTH-Stockholm researching how AI is transforming customer value perception and disrupting existing business models.

As a strong believer in AI Business Model Innovation, Girish is passionate about moving behind the PoC to enterprise-wide industrialization and will be talking about the organizational structures that need to be in place to scale AI.

During this episode, we will discuss:

  • Why organizations need to take a step back and re-define their structure and business models to fully exploit AI’s potential value
  • Why cross-organizational communication, collaboration and centralized co-ordination of AI initiatives are essential to ensure success
  • Why leaders must be willing to challenge the status quo

Episode 3: Future Says… AI for Social Good

 

Dr. Richard Benjamins, Chief Data & AI Strategist, Telefonica

Author of ‘The Myth of the Algorithm’ and ‘A Data-Driven Enterprise', Richard is amongst the 100 most influential people in data (DataIQ). Former Chief Data Officer at AXA, Richard is now the Chief AI & Data Strategist at Telefonica – one of the largest telecommunication operators in the world. Alongside his roles in business, Richard has also held positions at the Technical University of Madrid, the University of Amsterdam, the University of Sao Paulo, and the University of Paris-South. 

As founder of Telefonica’s Big Data for Social Good department and co-founder of the Spanish Observatory of the Social and Ethical Impact of AI, Richard is a passionate advocate for AI for Good. During this episode, we will be talking about the importance of data sharing, industry collaboration, and responsibility within AI.

During this episode, we will discuss:

  • Why we need to leverage the power of data and AI not only for business, but also for the good of society
  • How mobile data can be used for the greater good
  • Why we need to encourage more collaboration between governments, industries and research institutions to scale AI for social good

Read the Blog >>>

 

Episode 4: Future Says… Amplified Intelligence and Sustainable Operations

 

Errol Koolmeister, Head of AI Engineering, H&M

As the head of AI Engineering, Errol is responsible for machine learning & data science development for the H&M group. With 15 years of experience from a wide variety of industries, Errol has been able to reach an expert-level in working with and extracting value from data. Prior to joining H&M, Errol was Director of Data Science at ThinkBig Analytics, Lead Data Scientist at the Vodafone Group, and held various analytics roles at Nordea so he can take both a strategic and a technical viewpoint on data.

Discover the importance of change management, stakeholder involvement, data democratization and sustainability during H&M’s impressive 5-year Digital Transformation.

During this episode, we discuss:

  • Why we need the fusion between humans and artificial intelligence for the future
  • How we can address the concerns around AI displacing jobs
  • Why organizations need to start small but think big when it comes to AI

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Episode 5: Future Says… AI Foundations

 

Georg Von Zedwitz-Liebenstein, Information & Analytics Lead, Scania Financial Services

Georg is the Information & Analytics Lead at Scania Financial Services. Previously, he was a Senior Data Scientist within Scania’s Connected Services and Solutions department and has worked extensively with analytics and BI projects for both business and research-oriented projects. Georg is passionate about changing people’s mindset when it comes to what data can do for their business and supporting organizations in their data science journey.

With up to 84% of organizations stating that data analytics projects are currently delayed due to data not being in the right format, discover the importance of having a consolidated data framework and how large organizations can lead the way with data transformation.

During this episode, we will discuss:

  • Why it is important to have a solid data infrastructure
  • Why you need clear ownership of data within organizations
  • Why it is important to define what good looks like when it comes to data quality

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Plus Many More Yet to be Announced...

 

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