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Our

Approaches and Frameworks

The ROAI Framework stems from a combined century of experience in AI.  It cuts through technical complexity to align the core purpose of AI systems to the mission of an organization.  Execution is considered across three primary dimensions.

Strategy
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Strategy

Strategic alignment is a foundational enabler of a Return on AI. AI initiatives require concrete targets, support from appropriate teams, reengineered technology processes, and an expansive set of technical supports.

Design

Design

Impactful AI requires a unique interplay between business, technology, and social science challenges.  The end user’s experience, and the ultimate success of an AI solution, is determined as much by the organization that built it as the data and algorithm used.

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Optimization
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Optimization

Learning does not end with the machine.  Ongoing testing, user training, change management and quantification of impact are critical to making the organizational and technical changes that ensure continued success.

ROAI

ROAI

Together, these three elements ensure investments in AI result in impactful, profitable, and sustainable solutions.  Whereas any one element can result in a successful prototype, all three are necessary for ongoing value. For more information, read our thought leadership or contact us.  Discover how ROAI can support your organization’s Return on AI.

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Our Writing and Videos

Our

Writing and Videos

FORBES 1
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Winter Is Coming—For The Economy And AI

Economic winter has been a long time coming; the US has had the longest-running bull market in the country’s history. Markets, startups, and corporate innovation and expansion have flourished for over a decade. But now we appear . . . full article on Forbes

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Farmers

Farmers Accelerates Its Time to Impact with AI

Insurance, which is an industry made up of data, transactions, and decisions, is one of the industries that is most likely to be affected by artificial intelligence (AI). Farmers Insurance, the California-based insurer, intends to apply the technology aggressively to its business. AI projects have proliferated around the company over the past few years, and now its leaders . . . full article on Forbes

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AI Pilots
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The Problem With AI Pilots

Over the past year or so we’ve been engaged in an effort to tell the story of how large organizations are deploying artificial intelligence in their businesses. We were encouraged by the response to the 2018 NewVantage Partners executive survey, in which 93% of respondents said their organizations were investing in AI . . . full article on MIT Sloan

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Transformations Fail

Why So Many High-Profile Digital Transformations Fail

In 2011, GE embarked upon an ambitious attempt to digitally transform its product and service offerings. The company created impressive digital capabilities, labeling itself a “digital industrial” company, embedding sensors into many products, building a huge new software platforms . . . full article on Harvard Business Review

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Others'

Thoughts on AI Return

Other Articles

The New Business of AI

(and How It’s Different From Traditional Software)

At a technical level, artificial intelligence seems to be the future of software. AI is showing remarkable progress on a range of difficult computer science problems, and the job of software developers – who now work with data as much as source code . . . full article on Andreessen Horwitz

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The End of Starsky Robotics

In 2015, I got obsessed with the idea of driverless trucks and started Starsky Robotics. In 2016, we became the first street-legal vehicle to be paid to do real work without a person behind the wheel. . . . full article on Medium

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Global AI Survey: AI proves its worth, but few scale impact

Most companies report measurable benefits from AI where it has been deployed; however, much work remains to scale impact, manage risks, and retrain the workforce. A group of high performers shows the ways . . . full article on McKinsey & Company

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