Great couple of days at the EQT Group CEO Symposium in Menlo Park.

Very unique 360° view of the AI Opportunity (Typically, we get to see this only from our Practitioner lens or the Client lens)

• How builders like Palantir, Google and OpenAI see the future: Similar view of the future and how their capabilities are converging.. but each has an (almost) radically different approach to engaging the market
• How investors view the AI opportunity: Largely optimism – especially around investments in infrastructure to support AI growth – with a “dollop” of practical cautiousness around the enterprise adoption rates necessary to achieve the required ROI
• How “active” Boards are reacting to AI: Call to action for immediate adoption with aggressive enterprise impact goals (and interestingly, a strong focus on senior management personal usage)

We were one of three portfolio companies selected to present their AI strategy and success. We showcased 5 deployed AI solutions – FinAssist, RFP/DDQ AI Assist, Policy as Code, Poster Gen and Schema Forge.

The reaction to “seeing real AI in real use client cases” vs. “only hearing” how it will change the world was fantastic and drove several discussion of how Straive could be engaged to help.

Our vision of helping client operationalize data analytics & AI continues to gain momentum!

Clients don’t care about Data Analytics AI or operations.  They exclusively care about only three outcomes (the 3Es):

• Efficiency, measured in terms of reduced cost or enhanced scale
• Experience, measured in terms of enhanced speed or higher customer satisfaction
• Effectiveness, measured in terms of enhanced revenue or better end outcomes

Today (and for the next decade), it is impossible to deliver these outcomes without Data Analytics & AI. 

However, 70%+ of investments in data analytics & AI will fail or under-deliver.  Why? 

Because – what gets built never gets injected into an operational workflow or never gets adopted by end users or customers. In other words, the AI solution stays unoperationalized. (In another post, I will cover the primary drivers for lack of operationalization with real examples.)

Current categories of solutions in the market don’t address this problem. Typically, solution providers lack the combination of –  end-to-end talent stack, technology and methodology to operationalize data analytics and AI.  

Over the last three decades, new specialized categories were created to leverage the underlying new transformative technology of that decade. For example, IT became a new category in 1990s; BPO in 2000s; Data Analytics in 2010s. Similarly, a new category is needed to leverage the impact of AI.

We call it Data Analytics & AI Operationalization.

When clients ask me what our name ”Straive” means, I tell them how Straive brings together two divergent capabilities- critical to deliver impact today.

• First – “AI” at the center of everything we do. So we can deliver transformative enhancements to efficiency, experience and revenue;
• Second – The humility and experience to realize that AI is not the magic bullet. Operationalizing AI requires hard iterative work in the trenches: cleaning data; developing insights; building advanced models; integrating them into legacy workflows and experts-in-loop since no AI works out of the box. So, without “striving”, there can be no AI impact!

Over the past 24 months, we have made significant progress against our goal of helping our clients operationalize Data Analytics and AI. We are embedding AI into exisiting client workflows; winning new clients by leveraging our domain-rich AI foundry accelerators; and our teams across the world have started experiencing how “transforming with AI” can also be a lot of fun!

In alignment with this, the Straive logo now emphasizes these differentiated AI capabilities.

Straive’s updated website and logo perfectly reflect our mission of placing AI at the heart of every solution. Take a moment to explore our new site here: www.straive.com.