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An IBM executive once told me “Artificial intelligence might not take your job - but a company leveraging AI probably will…

…and artificial intelligence might not take away your career opportunity, but another leader leveraging AI probably will.”

There’s a lot of truth to those phrases. With billions being poured into AI transformations across industries, there’s an undeniable career advantage to nontechnical AI leaders who can not only find AI opportunities, but put together teams to capitalize on them.

We’ve combined four critical reports into this new Enterprise AI Essentials resource to help nontechnical leaders wield AI to achieve their key priorities, and deliver ROI with less risk and more confidence.

Combined, these reports have been built through over 70 interviews with AI leaders in Fortune 500 companies (including Comcast, Raytheon, and Facebook) and leading AI vendor companies (including unicorns like DataRobot, Dataiku, and NVIDIA).

PURCHASE

$999

All 4 Reports

Generating AI ROI PDF report

Getting Started with AI PDF report

AI Deployment Roadmap PDF report

AI Product Development Roadmap PDF report

(Save $1,000)

PURCHASE

$1,199

All 4 Reports and Audiobooks

Generating AI ROI PDF report and audiobook

Getting Started with AI PDF report and audiobook


AI Deployment Roadmap PDF report and audiobook


AI Product Development Roadmap PDF report and audiobook

(Save Over $1,000)

PURCHASE

$3,375

All 4 Reports, Audios, Plus 4 Advisory Calls

Generating AI ROI PDF report and audiobook

Getting Started with AI PDF report and audiobook


AI Deployment Roadmap PDF report and audiobook


AI Product Development Roadmap PDF report and audiobook

Four 45-Minute Advisory Calls with Daniel Faggella, Head of Research at Emerj

(50% Off!)

“Enterprise AI Essentials”

Four Powerful Reports to Maximize Your AI Advantage

Complete “Enterprise AI Essentials” Bundle

[Discount ended November 30th, no longer available]

Four Powerful AI Strategy Reports for 50% Off ($1000 in Savings)

Generating AI ROI – Best Practices and Frameworks

This compact 28-page report is broken down into four key chapters:

  • Effectively Framing the ROI of AI - Discover the most critical hurdles to near-term ROI, and best practices for deciding on AI projects based on their ROI potential. 

  • 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.

  • 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.

  • 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.

[For Consultants and IT Services Professionals] AI Deployment Roadmap

This compact 32-page report is broken down into five key chapters:

  • Prerequisites to AI Deployment - Reduce risk and give your firm a foundation for success by applying the four steps to take before deploying AI.

  • The Living Process of AI Adoption A quick-start summary of how business functions change before and after AI. Having these proper expectations ahead of time allows a company to adapt and take advantage of AI, instead of being caught off guard.

  • The 3 Phases of AI Deployment - Apply this three-phase approach to deployment and literally double your chance of achieving an ROI. Most firms skip phase two, and never realize why their deployment isn’t working.

  • The 7 Steps of the Data Science Lifecycle - A jargon-free, business leader-friendly breakdown of how to iterate with data and business processes to achieve a result (plus a full breakdown of the team members involved at each phase).

  • Putting the Steps and Phases in Action - Three keys to post-deployment success with AI projects – including how to retain AI skills and processes to make each deployment easier.

AI Product Development Roadmap

This compact 20-page report is broken down into three key chapters:

  • Product Development – Winning in the Near-Term and Long-Term - Discover the “thought experiment” questions that executive teams can use to narrow down high-value AI product ideas, and to find ideas that have near-term promise and maximum long-term strategic value.

  • Scoring the AI Product Development Landscape - A simple framework for sorting and organizing potential AI product ideas across five unique criteria – allowing leaders to simply boil down the ideas that leverage existing strengths and take advantage of gaps in the market.

  • Building Your Product Development Roadmap - Customized advice for firms of all sizes – giving leaders the tools they need to take the most promising AI product ideas and put them into action.

AI Transformation from A to Z

The reports in this unique bundle are structured to support an enterprise leader throughout their AI journey.

The Getting Started with AI report helps frame AI’s potential and avoid early pitfalls by preparing leadership teams with the insights they need to select the right projects - and set the right expectations about deployment and ROI.

The Generating AI ROI report helps rank and score projects by predicting their relative return on investment. Just as important, this report gives AI champions the tools to communicate this ROI in a way that executives and leaders understand.

The AI Deployment Roadmap report is where the rubber meets the road. Here, the reader will discover the three phases of AI deployment, and the seven steps in the data science lifecycle - as well as a detailed roadmap of how to build cross-functional teams to execute on AI projects.

Once a firm can integrate and leverage AI tools, they’ll start to build AI products - either to serve their own internal needs - or to enhance their ability to compete in the market. The AI Product Development Roadmap report is the fourth and final resource in the “Enterprise AI Essentials” bundle, and serves as a step-by-step guide to developing AI products that deliver value to users.

Praise for Emerj’s “Enterprise AI Essentials” Reports

"

The Getting Started with AI report is really well-thought-out, and the 'Timing and Purchase of AI' section was my favorite. 

There are a lot of wrong reasons to get started with AI - and knowing how to navigate with the right decisions is critical for nontechnical professionals to really make the most of AI in the real world.

The entire section about 'Build vs Buy' consideration is also crucial, and it's the kind of condensed insight that is VERY hard to find."

Chief eXperience Officer at Nerveda Cognition

Abhi Mukherjee

"

Knowing what to expect when building, buying, and partnering with AI is very challenging for companies who haven't gone through it - this report makes those expectations clear - and give companies a way to plan realistically, and get started without costly mistakes."

"I will use this in my own work to help clients become a data-driven business - this is a vision that I'll use to refer to - as a kind of vision of where to go, a starting point for strategy. One of the most important parts about this report is that it cuts through the challenges that all enterprises will face, and frames it in a way that prepares companies to really get started."

Telecommunications Professional and Consultant

Hubert Strokosch

"

Business leaders and corporate development officers of transforming companies should read this report on AI ROI in order to gain a better understanding of some fundamentals and practicalities to engage on Long-term AI integrations or Plug-and Play solutions. 

From a strategic perspective understanding if and how an AI project will be bring additional revenues, enhance customer success and/or avoid costs or penalties will be crucial. Application of AI in areas like energy transition, anti-money laundering, evidence-based predicting and transparency on social and environmental impact are endless. An experimental mindset to AI and perseverance will be the key to success.”

Founder, Sacaba Capital & Advisory 
Formerly Managing Director, ABN AMRO Bank

Martijn Arlman

"

What I liked most about the Generating AI ROI report was the clarity of the discussion about real-world considerations and the concrete use-cases, where different paths to ROI are shown with real business examples.

This allows clients to incorporate these ideas into strategy - and it makes the ROI framework valuable. The report is realistic about today’s challenges to AI ROI - and practical about how an organization might overcome them.”

CEO and Founder, The Cantellus Group
Former Partner at Latham & Watkins, LLP

Karen Silverman

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.

30 Day 100% Money-Back Guarantee

Getting Started with AI: Proven Best Practices of Adoption

This compact 25-page report is broken down into five key chapters:

  • Critical Executive Expectations in AI Adoption - Overcome the early hurdles to AI adoption by understanding how to assess costs and resources, and grounding your project in the right expectations of an AI project’s requirements.

  • Short-Term and Long-Term AI Investment How to lock in the near-term benefits of AI by positioning your firm or department to win the long term, and handle unrealistic ROI-based objections or unrealistic ROI expectations.

  • AI Adoption Motives - Discover the three reasons for AI adoption that lead to successful outcomes and more likely ROI, and the two mistaken AI adoption motives that almost inevitably lead to wasted money, setbacks, and embarrassment.

  • Timing and Purchasing of AI - Learn when to adopt artificial intelligence, what to do directly before beginning an AI initiative, and a simple, powerful framework for build vs buy decision-making.

  • The Three Phases of AI Adoption - Discover the crucial importance of a post-pilot “incubation” phase for AI projects, and critical insights to turn a successful AI proof of concept (PoC) into a truly functional business solution – without making the costly errors that stop many PoCs cold.

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