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Best Practices and Frameworks
Generating AI ROI
It's true that some AI projects fail becuase the company didn't have adequate data, or because it lacks the right data science talent. However - many projects fail because the measurements of success were establisehd incorrectly. Most companies set out to measure AI ROI in one way:
• Short-term financial return (an amount of money saved or made)
While this approach can be helpful if measurements are established well from the start, it is woefully incomplete.
Artificial intelligence requires a firm understanding of strategic advantage, of how AI capabilities (data infrastructure, teams, and skills) can be improved.
Without a tie to long-term advantage, many attempts at AI ROI turn into what we call “toy applications” – individual instances of AI that exist as experiments but add neither financial value nor significant learning and skill to the company who spends money on them.
Most of the questions that our executive readers at Emerj.com ask relate in some way to one, core question:
Where is the ROI of AI in my sector?
Applying AI is challenging, mistakes are costly, and seeing a return on investment (ROI) from AI projects is something that every business leader and consultant is looking for. ROI is being measured incorrectly because of this most companies are setting themselves up for a failed first initiative.
How Nontechnical Leaders Can Set Up AI Initiatives for Success?
These experts fall into three broad categories:
We’ve interviewed AI leaders and experts at Facebook, AirBnb, Google Deepmind, and other tech firms. We don’t expect most companies to be able to fully transform into tech unicorns – but many of the best-practices of applying data science in unicorn companies can be easily applied to more mundane companies once those best-practices are understood.
AI Leadership
at Top Tech Firms
PhD AI Consultants with Startup and Enterprise Experience
Most AI “consultants” are amateurs, but some have been at it for decades, and have hands on experience transferring true data science into business value (often in business environments where it’s incredibly hard to get AI off the ground).
From retail banks to pharma giants, from manufacturing companies to trucking conglomerates – our interviews and research span to every sector.
AI Leadership in Older, Established Companies
As many of you know, at Emerj runs the largest B2B AI podcast, “The AI in Business Podcast" - with nearly 1000 episodes and nearly 3,000,000 downloads. This gives us rare access to AI leaders and non-technical business leaders in order to learn the critical factors for AI success. From the US Department of State – to IBM - from the largest oil and gas companies in the world – to the hottest AI startups in Silicon Valley.
A Structured Guide to Delivering Financial and Strategic ROI with Artificial Intelligence for Business Leaders
$1497
Premium Package
Complete 28-page report
Audiobook version for convenient listening
One 45-minute analyst call with Daniel Faggella to apply the insights from this report directly to your business
We’ve spent months assessing past interviews, turning insights into frameworks, and speaking with our subscribers to determine the best fit for their needs – and we wanted to find a way to shoulder the risk for this product release, so that any nontechnical professional can feel comfortable making the purchase. Here’s the guarantee:
Get your copy of the report, and if you don’t genuinely believe that report will help you capture more AI opportunity for your career or business (and won’t pay for itself 20 times over), then simply send us an email to [email protected], and we’ll provide you with a full refund of your purchase, no questions asked.
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Leaders who are deciding on AI projects and initiatives want to:
- Understand the ROI potential of an AI project before sinking money into developing it
- Have tangible, measurable benchmarks to hold their AI projects accountable
- Leverage each AI application towards long-term AI agility and AI advantage (in addition to short-term measurable results)
And that’s exactly what the new Generating AI ROI report provides.
Most leaders don’t know how to establish expectations, measurements, and frameworks for AI ROI because they simply haven’t had the chance to try.
AI is new to many sectors, and most pilot projects are barely getting started – so actual experience with reliably rolling out AI is a skill set held by a limited number of experts around the world.
Our Generating AI ROI report draws from over 50 interviews with such AI experts from across countries and geographies.
1
Discover the most critical hurdles to near-term ROI, and best practices for deciding on AI projects based on their ROI potential.
Effectively Framing the ROI of AI
2
Achieving Strategic ROI
Position an AI project to deliver long-term results in line with core business priorities. In this chapter, you’ll learn three strategic ROI exercises to align AI initiatives to an AI advantage now – and into the future.
3
Achieving Measurable ROI
Use the six categories of measurable ROI as anchor points for any AI project – and set yourself up to overcome many of the early hurdles that AI initiatives face.
4
Making ROI Happen – The Critical Success Factor
Team collaboration and alignment steps for nontechnical executives, including a walk-through of key team collaboration points across the six phases of AI deployment.
The ROI report provides a set of frameworks to set an AI project up for success – breaking down the complex process of AI ROI into “strategic” and “measurable” components.
Our readers are business leaders, innovation and strategy leaders, and cutting-edge consultants who want maximum business impact with minimum fluff – and that’s how this report is structured.
This compact 28-page report is broken down into four key chapters:
Purchase your copy of Generating AI ROI – Best Practices and Frameworks.
The objective of our ROI research was to determine the frameworks and steps involved in predicting and ensuring AI ROI in the short-term and the long-term.
Ultimately, we aim to give leaders the ability to see real traction with AI projects, while most of their competitors waste time and money on chasing the wrong measurements, without a grounded strategy for delivering AI value.
If you’re to have the best chance of a short-term financial ROI from an AI project – this report will be remarkably helpful.
If you’re looking to leverage AI for a long-term strategic advantage – using each new AI initiative as momentum for winning in the marketplace – then this report will be absolutely essential.
The Objective of our ROI research
Most AI Projects Don’t Achieve an ROI of Any Kind - and it Has Little to Do with Data or Data Science Talent
Purchase Your Copy - Offer Ends October 1st, 2020
The Value of the "Generating AI ROI" Report, from Emerj Customers