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Enda Ridge

Enda Ridge, Chief Data Scientist, Sainsbury’s

[…] Peter Norvig and Cassie Kozyrkov of Google have certainly achieved this. I also admire the hundreds of engineers and scientists who are making incredible advances in cloud technology and algorithms. There are too many people to mention – I must follow at least 50 blogs to keep up to date. Did 2019 turn […]
Dr Iain Brown

Dr Iain Brown, Head of Data Science, SAS UK and Ireland

[…] strengthened. On the end user side, companies will also begin holding decision makers to account for the choices they make based on AI-generated insight. Data and technology are changing business, the economy and society – what do you see as the biggest opportunity emerging from this? I believe data-driven AI will deliver economic […]
Antonio Acuña

Antonio Acuña, Head of Consulting, Parity

[…] leading a few digital startups in the early 2000s, just before the dot.com bubble burst, before moving to government as a civil servant. Initially I worked on technology projects in the environmental sector, and then I moved to open data and digital transformation at the Government Digital Service and environment. After 15 years in […]
Anna Spender

Anna Spender, Director of Actuarial and Data Analytics, Psyon

[…] protection, and health insurance markets, having held leadership and senior pricing and proposition development roles across both UK and international markets. Four years ago, I joined Psyon, the technology arm of Howden Employee Benefits & Wellbeing, to set up and lead the data analytics and insight division. Psyon Insights combines my insurance and data […]
Wade Munsie

Wade Munsie, Chief Technology Officer, Controlant

[…] just getting started with this company. Part of the agenda I set before accepting the role includes not only a strict value focus across both data and technology, but I set out an agenda to the Board of being truly data driven and not technology led. I will have the chance to not […]
Dr Seth Dobrin

Dr Seth Dobrin, CEO, Qantm AI

[…] architectures, infrastructures, and governance paradigms are being rethought. The rise of generative AI (genAI) necessitates new frameworks capable of supporting these technologies effectively. However, the industry’s prevailing technology-first approach, rather than a strategy-first methodology, introduces many challenges, underscoring the need for a strategic realignment. In this evolving landscape, data and model observability become […]
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15 May 2024
Expired!

Roundtable – Doing GenAI at scale

This roundtable will discuss ways DataIQ members are working on delivering GenAI at scale, the issues they are experiencing and how they’re overcoming them.
Two people working on data tech machine learning tools.

How do we successfully implement machine learning ops within our data tech stack?

[…] discussions from representatives of organisations at different stages of the ML journey, from someone starting their first ML team to mature ML developers deploying many models into production.” Avoiding data tech lock-in When it comes to technology and new tools, it is easy to be swept up in the excitement and hype cycle of new developments, but there must be considerations about which […]
Scott Taylor

Scott Taylor, The Data Whisperer, MetaMeta Consulting

[…] is Founder of MetaMeta Consulting and widely known as The Data Whisperer, a global voice on data storytelling and business engagement. As a full-time content creator, Scott partners with technology brands, media organizations, and industry groups to help organizations communicate the value of data and AI through keynotes, events, webinars, podcasts, and digital content. Scott began […]

Sadie St. Lawrence, Founder and CEO, Human Machine Collaboration Institute (HMCI)

[…] and succeed. At HMCI, Sadie’s work focuses on the organizational and cultural challenges that often limit the success of data and AI initiatives. She emphasizes that while technology is critical, the more complex barriers are often rooted in misaligned incentives, organizational dynamics, and trust. Her work includes research, advisory roles, and collaboration with public […]
Ellen Nielsen

Ellen Nielsen, Board Advisor and CDAIO Executive

[…] and end-to-end value chains. These experiences shaped her ability to connect operational priorities with strategic outcomes. Transitioning into data and AI leadership, Ellen focused on ensuring that technology investments deliver measurable business value. She developed a perspective that data initiatives are most effective when grounded in real operational context and aligned with enterprise goals. Ellen’s leadership […]

Robert Yue, VP, Data Intelligence, AARP Services Inc.

[…] we work and live. As data and AI leaders, many of us have rolled up our sleeves to identify use cases, design pilots, and explore how to harness this technology to reimagine work and drive business impact and productivity. “Now we’re moving past isolated pilots. The future focus will be on operationalizing AI at scale, embedding it into core […]

Rajiv Kolagani, CDAIO, Lurie Children’s Hospital

[…] across both provider and payer organizations. Rajiv began his career in technical roles, developing a strong foundation in software engineering and analytics. He later earned an MBA to bridge technology with business strategy, shaping his ability to align data initiatives with broader organizational goals. Throughout his career, Rajiv has held senior leadership roles at organizations including […]

Kumar Singirikonda, Director of DevOps Engineering, Toyota

[…] platforms and workflows. Across his career, Kumar has consistently seen that sustainable success with data and AI depends on strong foundations, empowered teams, and leadership that aligns technology with real-world impact. As a data and AI leader, which traits and skills do you think matter most, and which of those have been most […]