CIOs: Go From Theory to Practice With GenAI

Dataiku Product, Scaling AI Catie Grasso

Our survey of 200 analytics and IT leaders shows the gap between AI aspirations and execution is clear, but it is not insurmountable. Here is an actionable blueprint for CIOs and other IT leaders to turn Generative AI ambitions into success with Dataiku.

Embed Governance and Compliance From the Start

Generative AI has moved beyond hype into substantial financial commitments — in the next 12 months, nearly three-quarters of respondents will spend over $500,000 on the technology and nearly half (46%) will spend over $1 million. However, many organizations find their investments don’t yield the expected returns. 

GenAI budget spend

CIOs need a focused strategy because the connection between Generative AI spend and AI Governance is multifaceted, involving the balance between investment in technology development and the implementation of regulations and frameworks to ensure the responsible and safe use of AI systems. Some key aspects of this connection include resource allocation, risk management, regulatory compliance, and trust and transparency. This is where governance features in Dataiku can help. 

At a high level, these capabilities embed compliance, risk management, and oversight into AI initiatives, ensuring robust governance, especially with evolving regulations like the EU AI Act. Specifically, governance features in Dataiku enable teams to:

  • Have a centralized view of all data and analytics initiatives, including projects, models, model versions, bundles, and more.
  • Manage deployment of projects or models with a built-in sign-off process.
  • Monitor models that have been deployed and analyze their performance over time.

💡Plus, Dataiku has recently introduced its EU AI Act Readiness Program, which is designed to help organizations navigate every aspect of the new Act, drive Responsible AI innovation, and effectively govern AI at scale.

Maximize ROI on GenAI by Aligning Spend With Organizational Capabilities

Nearly all respondents — 85% — are investing in Generative AI in some way, whether via a dedicated Generative AI budget or another budget such as IT, data science, or analytics. As more LLM use cases and applications continue to emerge across the enterprise, IT teams need a way to easily monitor both performance and cost to get the most out of their investments and identify problematic usage patterns before they have a huge impact on the bottom line.

That’s where the Dataiku LLM Cost Guard comes in, designed to monitor and control costs associated with Generative AI, helping CIOs manage financial impact and prevent budget overruns. Ready-to-use dashboards include data on usage across the LLM lifecycle, including details by use case, user, or Dataiku project. A fully auditable log of who is using which LLM and service for what purpose allows for cost tracking and internal re-billing, not to mention improved decision making on the number of LLMs used, procurement negotiations, and LLM access management.  

💡Plus, check out this infographic to see how Dataiku customers are driving returns on their Generative AI initiatives with Dataiku. 

Manage Operational Risks With Robust Infrastructure

It goes without saying that Generative AI shines a spotlight on existing risks and inefficiencies. Our survey revealed that a worrying portion (24%) of organizations still rely on spreadsheets as their main tool for data manipulation. Further, 88% of respondents have faced infrastructure barriers to using LLMs in the way that they would like. The good news is that IT leaders can address these with a sound infrastructure. The Dataiku LLM Mesh provides a secure backbone for Generative AI applications, supporting various hosted LLM services and simplifying integration and management. 

Crucial to compliance activities, the LLM Mesh helps detect and mitigate issues such as bias, toxicity, and PII infringements, ensuring alignment with governance objectives. Unlike other platforms that are aligned to specific cloud infrastructure or model provider's offerings, Dataiku connects to the latest AI services from ALL major commercial LLM providers, as well as model hubs like Hugging Face, if you choose to use open source models and self-host.

💡Get more information on why Dataiku is the AI platform of choice for CIOs and IT leaders and how it drives tech optionality and agnosticity in an ever-evolving world.

Putting It All Together 

By leveraging these solutions, IT leaders can turn their AI ambitions into tangible successes, navigating the complex landscape of modern analytics with confidence. Dataiku stands ready to assist in this journey, offering the tools and expertise needed to achieve AI-driven innovation at scale.

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