AI Executive Guides

Artificial intelligence "Best Practice" reports are designed to help business leaders understand critical information about applying artificial intelligence applications successfully. Search our full set of executive guide reports below:

Critical Capabilities - The Prerequisites to Successful AI Deployment

Critical Capabilities – The Prerequisites to AI Deployment in Business

Over the last four years, interviewing hundreds of AI researchers and AI enterprise leaders, we've consistently heard the same frustrations about AI adoption said time and time again.
"Culture is hard to change."
"Leadership doesn't know what they're trying to accomplish."
"Nobody knows what to do with these data scientists we've hired."
etc...
In our one-to-one work with enterprise clients, we've taken the most prevalent, recurring challenges to AI deployment and put them together into a framework of "prerequisites" to AI deployment.

Pitfalls to AI Adoption in the Enterprise 3 of 3 950×540

Predicting the ROI of AI – Pitfalls to AI Adoption in the Enterprise (Part 3 of 3)

In the final installment of the "Pitfalls to AI Adoption" series, we talk about predicting the ROI of AI. There are a lot of misconceptions running rampant around the ability to gauge the return on investment of artificial intelligence. In this article, we talk about what can and can't be done when it comes to investing in artificial intelligence and predicting what the return might be.

AI Integration Challenges - Pitfalls to AI Adoption

AI Integration Challenges – Pitfalls to AI Adoption in the Enterprise (Part 2 of 3)

In this second installment of the "Pitfalls to AI Adoption in the Enterprise" series, we're going to talk about underestimating the integration needs of artificial intelligence and machine learning.

Pitfalls to AI Adoption in the Enterprise 1 of 3 950x540

Avoid AI Novelty – Pitfalls to AI Adoption in the Enterprise (Part 1 of 3)

What's harder than training an algorithm to detect images or automate a process? Collecting and cleaning the data in the first place.

Buying and Adoption Readiness for AI (AI Zeitgeist 5)

Buying and Adoption Readiness for AI (AI Zeitgeist 5 of 7)

This article is part 5 of a 7-part series called “AI Zeitgeist,” where we’ll be mapping out the details of AI adoption over the next 10 years and explore the critical changes in the AI ecosystem that business leaders need to understand.

Where Can Artificial Intelligence be Used in Business? - An Executive Guide

Where Can Artificial Intelligence be Used in Business? – An Executive Guide

Most of the time when we have requests for speaking engagements here at Emerj, they're from business leaders. At the time this article was published, I just came back from a presentation at National Defense University in Washington DC. Presenting there was unique in many regards. Obviously, the use cases for tanks and submarines are quite different than they are for drug development or selling more products off retail shelves.

Ben Levy Emerj

Should My Startup be Using Machine Learning and AI?

Almost all young companies and companies in the start-up ecosystem today would like to talk about how they leverage AI or machine learning. In most cases, this is to make their product sound special and exciting. However, the fact is most young companies do not have the resources or the talent needed to leverage artificial intelligence in a way that would add to their value proposition.

1

Enterprise Adoption of Artificial Intelligence – When it Does and Doesn’t Make Sense

Chances are you have already been bombarded on social media or in your inbox about all these “revolutionary AI” this and “game-changer AI” that.

How to Apply Machine Learning to Business Problems 3

How to Apply Machine Learning to Business Problems

It's easy to see the massive rise in popularity for venture investment, conferences, and business-related queries for "machine learning" since 2012 - but most technology executives often have trouble identifying where their business might actually apply machine learning (ML) to business problems.

Retraining and Reskilling for AI

Retraining and Reskilling for AI – The State of AI Job Loss Today

One of the many concerns that business leaders have around automation is how they're going to adapt their workforce to new technology. The digital age has brought a rapid shift in the skillsets employees need to go about their jobs effectively, leaving little time for business leaders to come up with strategies for how to reskill and retrain their employees, prevent their companies from drawing disdain from the public, and how to compete with their peers.

A Pathway to Career Acceleration

A Pathway to Career Acceleration – Getting Started with AI

In this article, I'll showcase 6 examples of nontechnical professionals who used their business and subject-matter expertise (not their coding ability) to have more exciting careers in AI, and I respond directly a number of questions and comments from Emerj subscribers about AI knowledge for career advancement.

AI Knowledge as a Career Accelerator 2 950x540

AI Frameworks for Success – Bring Value to Any AI Initiative as a Non-Technical Professional

This is the second article in our "AI for Career Acceleration" series - be sure to read the first installment (and watch the video on that page).

AI Knowledge as a Career Accelerator 1 950x540

The AI Career Gap – AI Knowledge as a Career Accelerator

Last month we ran a podcast series on the AI in Industry podcast on the theme of “Advancing Your Career in the Era of AI”, with a focus on how non-technical professionals can become more valuable in the market, and can become involved in AI projects and initiatives, without ever learning to code.
I received twice as much feedback on this series as any other series we’ve ever run on the podcast - which surprised me.
It surprised me because I think about everything on Emerj.com as being useful for nontechnical professionals. We’ve built our editorial calendar and our products around the needs of nontechnical professionals who want to make the most of their careers, but this recent series spoke to that topic directly.
But hitting directly on the theme of “Advancing Your Career in the Era of AI” clearly hit a cord.
For that reason, I’ve decided to release a three-part video and article series on that same topic, breaking down the lessons that were most important for me - and sharing a bit of my own story going from small-town martial arts instructor to international AI speaker and strategist.
Before getting into the small-town martial arts instructor part, I’d like the share a pivotal Silicon Valley conversation that changed the course of my career:

Should I Go to an AI Event - How to Decide Which Events to Attend

Should I Go to an AI Event? How to Decide Which Events to Attend

Should I attend an artificial intelligence event or not?

What event should I go to?

Should I go to this event?

Feature Engineering for Applying AI in Business

Feature Engineering for Applying AI in Business – An Executive Guide

We talk a lot about the concept of connective tissue here at Emerj, the fact that a company that wants to apply AI not only needs to have access to data, not only needs to hire normally very expensive artificial intelligence talent, but also has to have the connective tissue of related subject-matter experts who can work with that talent.

Applying AI in Business - The Critical Role of Subject-Matter Experts

Applying AI in Business – The Critical Role of Subject-Matter Experts

We have discussed the importance of having the right talent in place when it comes to AI adoption in enterprise quite thoroughly here at Emerj. The scarcity of data science talent and its price point are one of the main reasons small businesses are not likely to adopt AI successfully at this time.

3 Content Marketing Principles for AI Products and Services

3 Content Marketing Principles for AI Products and Services

Content marketing encompasses many ways to advertise and attract new potential customers. At Emerj, we've worked on hundreds of campaigns for AI-related products and services, and what we've learned is that content marketing for AI vendors boils down to two things:

How to Convert More Leads for AI Products and Services

How to Convert More Leads for AI Products and Services

Companies often emphasize artificial intelligence on their homepage or on services pages. While AI is currently an important topic, a simple mention of it on a website’s homepage will not get potential customers interested. Instead, it is more important to focus on the direct needs of the stakeholders who find an AI vendor website and their online properties in order to get them closer to a sale. 

Go-to-Market Strategy for an AI Product - From Insight to Action Plan (Part 3 of 3)

Go-to-Market Strategy for an AI Product – From Insight to Action Plan (Part 3 of 3)

Welcome to part three of this three-part series on go-to-market strategy for an artificial intelligence product or service. In part one we talked about what kind of insights you want to get out of a go-to-market strategy. In part two we talked about how those insights are gleaned.

Go-to-Market Strategy 2 of 3 950×540

Go-to-Market Strategy for an AI Product – Building the Strategy (Part 2 of 3)

In part one of this series, we talked about what insights to get out of a go-to-market strategy project. In this second installment, we're going to be diving into how to get those insights.

Go-to-Market Strategy for an AI Product - What to Discover (Part 1 of 3)

Go-to-Market Strategy for an AI Product – What to Discover (Part 1 of 3)

When clients come to us for custom research projects, sometimes it's because it's a big firm that's looking to make acquisitions or it's a company that's looking for some kind of competitive intelligence. They're looking at who else is offering things like them and how they can position themselves against those other competitors in the market.

Spot Fake AI Companies Quickly - Look out for the Fake AI Rebrand

Spot Fake AI Companies Quickly – Look Out for the Fake AI Rebrand

We've seen a lot of what we call "fake AI rebrands" in the last 18 months, and I suspect that as long as AI is a buzzword, we will only see more and more of this. Business leaders are going to have to keep their eyes peeled for these kinds of companies in their midst.

"Psuedo-AI" and When It's Okay for Humans to be Behind the AI

Pseudo-AI – When “AI” is Really a Human, but That Might be Okay

One of the biggest problems facing business executives when it comes to adopting AI is determining whether a company is truly leveraging AI or simply using the term as a marketing strategy. We have discussed rules of thumb for assessing the authenticity of AI companies in previous articles based on insights derived from hundreds of interviews with industry experts and AI researchers over time.

How to Tell if an AI Company is Lying About Using AI

7 Ways to Tell if an AI Company is Lying About Using AI

A few months ago, we spoke about three rules of thumb for assessing companies and trying to figure out if they are really doing AI or just using it for marketing purposes in our How to Cut Through the Artificial Intelligence Hype piece. Since it was so popular, I was inspired to write this follow-up.

How the Coronavirus Will Change AI Innovation in Insurance

How the Coronavirus Will Change AI Innovation in Insurance

The insurance industry is being disrupted like it hasn't in decades. Unlike other events like Hurricane Sandy or even the 2008 financial crisis, the coronavirus is impacting essentially every corner of the world and more or less every industry.

AI Strategy in the Coronavirus Era - a Business Leader's Guide

AI Strategy in the Coronavirus Era – a Business Leader’s Guide

In the last two articles in this 3-part series, we discussed how AI priorities will shift in response to the coronavirus pandemic, as well as how companies can further leverage the advantages they have (and can create) to overcome the challenges they are facing in this uncertain time. 

AI Advantages and Challenges in the Coronavirus Era

AI Advantages and Challenges in the Coronavirus Era

At Emerj, our research involves tracking AI and innovation across industries, dialing into where AI is driving ROI, which we do through our AI Opportunity Landscape research. In these hard times, we're expecting many AI startups to fade away and many technology priorities within large enterprises to completely shift to be more in line with what we're going to be articulating in this article. 

New AI Priorities in the COVID19 Era 950x540

New Artificial Intelligence Priorities in the COVID-19 Era

The COVID19 outbreak has changed the world faster than anyone could have imagined.

Forced isolation has shifted meetings and activities to go on through web collaboration tools.


Artificial Intelligence and the Future of Supply Chain and Logstics

Artificial Intelligence and the Future of Supply Chain and Logistics

Supply chains contain every material, component, product and packaging for the objects that together compose the world we live in. However, there is an often invisible ingredient to successful supply chains: data. 

How the Coronavirus Will Change AI Innovation in Insurance

How the Coronavirus Will Change AI Innovation in Insurance

The insurance industry is being disrupted like it hasn't in decades. Unlike other events like Hurricane Sandy or even the 2008 financial crisis, the coronavirus is impacting essentially every corner of the world and more or less every industry.

AI Strategy in the Coronavirus Era - a Business Leader's Guide

AI Strategy in the Coronavirus Era – a Business Leader’s Guide

In the last two articles in this 3-part series, we discussed how AI priorities will shift in response to the coronavirus pandemic, as well as how companies can further leverage the advantages they have (and can create) to overcome the challenges they are facing in this uncertain time. 

AI Advantages and Challenges in the Coronavirus Era

AI Advantages and Challenges in the Coronavirus Era

At Emerj, our research involves tracking AI and innovation across industries, dialing into where AI is driving ROI, which we do through our AI Opportunity Landscape research. In these hard times, we're expecting many AI startups to fade away and many technology priorities within large enterprises to completely shift to be more in line with what we're going to be articulating in this article. 

New AI Priorities in the COVID19 Era 950x540

New Artificial Intelligence Priorities in the COVID-19 Era

The COVID19 outbreak has changed the world faster than anyone could have imagined.

Forced isolation has shifted meetings and activities to go on through web collaboration tools.

The ROI of Machine Learning - 3 Strategies for Measurable Results

The ROI of Machine Learning – 3 Strategies for Measurable Results

Many business leaders make the mistake of believing that AI and machine learning are like regular IT, but this could not be further from the truth. In large part, this is because, unlike simple software solutions for discreet business problems, it can be very difficult to measure the ROI of machine learning.

Near-Term AI Trends and the ROI of AI – An Overview 950×540

Near-Term AI Trends – A Guide for Mid-Size Business Leaders

What is the state of AI in business today - and what do mid-market business leaders need to know about AI now?

3 Ways to Build a Competitive AI Advantage

3 Ways to Build a Competitive AI Advantage – An Executive Guide

Companies looking to apply AI are looking for a competitive advantage in their industry, something that will give them an edge in the market and help them grow. However, not every AI application can give a company a competitive advantage. Many AI applications are simply going to become the new normal.

Retraining and Reskilling for AI

Retraining and Reskilling for AI – The State of AI Job Loss Today

One of the many concerns that business leaders have around automation is how they're going to adapt their workforce to new technology. The digital age has brought a rapid shift in the skillsets employees need to go about their jobs effectively, leaving little time for business leaders to come up with strategies for how to reskill and retrain their employees, prevent their companies from drawing disdain from the public, and how to compete with their peers.

Critical Capabilities - The Prerequisites to Successful AI Deployment

Critical Capabilities – The Prerequisites to AI Deployment in Business

Over the last four years, interviewing hundreds of AI researchers and AI enterprise leaders, we've consistently heard the same frustrations about AI adoption said time and time again.
"Culture is hard to change."
"Leadership doesn't know what they're trying to accomplish."
"Nobody knows what to do with these data scientists we've hired."
etc...
In our one-to-one work with enterprise clients, we've taken the most prevalent, recurring challenges to AI deployment and put them together into a framework of "prerequisites" to AI deployment.

3 Content Marketing Principles for AI Products and Services

3 Content Marketing Principles for AI Products and Services

Content marketing encompasses many ways to advertise and attract new potential customers. At Emerj, we've worked on hundreds of campaigns for AI-related products and services, and what we've learned is that content marketing for AI vendors boils down to two things:

How to Convert More Leads for AI Products and Services

How to Convert More Leads for AI Products and Services

Companies often emphasize artificial intelligence on their homepage or on services pages. While AI is currently an important topic, a simple mention of it on a website’s homepage will not get potential customers interested. Instead, it is more important to focus on the direct needs of the stakeholders who find an AI vendor website and their online properties in order to get them closer to a sale. 

A Pathway to Career Acceleration

A Pathway to Career Acceleration – Getting Started with AI

In this article, I'll showcase 6 examples of nontechnical professionals who used their business and subject-matter expertise (not their coding ability) to have more exciting careers in AI, and I respond directly a number of questions and comments from Emerj subscribers about AI knowledge for career advancement.

Finding AI Trends

3 Ways to Discover AI Trends in Any Sector

Business leaders, managers, and consultants with an eye on AI aren’t just trying to learn what AI can do, they’re trying to discover ways to gain an AI advantage.

AI Knowledge as a Career Accelerator 2 950x540

AI Frameworks for Success – Bring Value to Any AI Initiative as a Non-Technical Professional

This is the second article in our "AI for Career Acceleration" series - be sure to read the first installment (and watch the video on that page).

AI Knowledge as a Career Accelerator 1 950x540

The AI Career Gap – AI Knowledge as a Career Accelerator

Last month we ran a podcast series on the AI in Industry podcast on the theme of “Advancing Your Career in the Era of AI”, with a focus on how non-technical professionals can become more valuable in the market, and can become involved in AI projects and initiatives, without ever learning to code.
I received twice as much feedback on this series as any other series we’ve ever run on the podcast - which surprised me.
It surprised me because I think about everything on Emerj.com as being useful for nontechnical professionals. We’ve built our editorial calendar and our products around the needs of nontechnical professionals who want to make the most of their careers, but this recent series spoke to that topic directly.
But hitting directly on the theme of “Advancing Your Career in the Era of AI” clearly hit a cord.
For that reason, I’ve decided to release a three-part video and article series on that same topic, breaking down the lessons that were most important for me - and sharing a bit of my own story going from small-town martial arts instructor to international AI speaker and strategist.
Before getting into the small-town martial arts instructor part, I’d like the share a pivotal Silicon Valley conversation that changed the course of my career:

Pitfalls to AI Adoption in the Enterprise 3 of 3 950×540

Predicting the ROI of AI – Pitfalls to AI Adoption in the Enterprise (Part 3 of 3)

In the final installment of the "Pitfalls to AI Adoption" series, we talk about predicting the ROI of AI. There are a lot of misconceptions running rampant around the ability to gauge the return on investment of artificial intelligence. In this article, we talk about what can and can't be done when it comes to investing in artificial intelligence and predicting what the return might be.

AI Integration Challenges - Pitfalls to AI Adoption

AI Integration Challenges – Pitfalls to AI Adoption in the Enterprise (Part 2 of 3)

In this second installment of the "Pitfalls to AI Adoption in the Enterprise" series, we're going to talk about underestimating the integration needs of artificial intelligence and machine learning.

Pitfalls to AI Adoption in the Enterprise 1 of 3 950x540

Avoid AI Novelty – Pitfalls to AI Adoption in the Enterprise (Part 1 of 3)

What's harder than training an algorithm to detect images or automate a process? Collecting and cleaning the data in the first place.

Artificial Intelligence in Corporate Banking - Current Applications

How to Discover the AI Initiatives of Fortune 500 Companies

There is always a fascination with what the biggest and most powerful companies in any given sector are doing. If you look in the world of eCommerce, everybody is ultimately referencing Amazon. In the world of banking, firms like JP Morgan are referred to and everyone's interested in their newest hires in terms of the C-suite and their newest innovations in terms of technology. Analyzing bigger firms seems to have a level-setting effect.

Go-to-Market Strategy for an AI Product - From Insight to Action Plan (Part 3 of 3)

Go-to-Market Strategy for an AI Product – From Insight to Action Plan (Part 3 of 3)

Welcome to part three of this three-part series on go-to-market strategy for an artificial intelligence product or service. In part one we talked about what kind of insights you want to get out of a go-to-market strategy. In part two we talked about how those insights are gleaned.

Go-to-Market Strategy 2 of 3 950×540

Go-to-Market Strategy for an AI Product – Building the Strategy (Part 2 of 3)

In part one of this series, we talked about what insights to get out of a go-to-market strategy project. In this second installment, we're going to be diving into how to get those insights.

Go-to-Market Strategy for an AI Product - What to Discover (Part 1 of 3)

Go-to-Market Strategy for an AI Product – What to Discover (Part 1 of 3)

When clients come to us for custom research projects, sometimes it's because it's a big firm that's looking to make acquisitions or it's a company that's looking for some kind of competitive intelligence. They're looking at who else is offering things like them and how they can position themselves against those other competitors in the market.

Should I Go to an AI Event - How to Decide Which Events to Attend

Should I Go to an AI Event? How to Decide Which Events to Attend

Should I attend an artificial intelligence event or not?

What event should I go to?

Should I go to this event?

The Competitive Dynamics of AI - Now and in the Future (AI Zeitgeist 7)

The Competitive Dynamics of AI – Now and in the Future (AI Zeitgeist 7 of 7)

We’ve made it to article seven of seven in this “AI Zeitgeist” series. It’s been a while building up to this, and I’ve kept the competitive dynamics of AI as the topic of this seventh article because to me everything builds up to this.

The Changing Landscape of AI Priorities of Business Leaders (AI Zeitgeist 6 of 7)

The Changing Landscape of AI Priorities for Business Leaders (AI Zeitgeist 6 of 7)

We come to the sixth installment in the "AI Zeitgeist" series, and this one is about the changing landscape of artificial intelligence priorities for business leaders.

Buying and Adoption Readiness for AI (AI Zeitgeist 5)

Buying and Adoption Readiness for AI (AI Zeitgeist 5 of 7)

This article is part 5 of a 7-part series called “AI Zeitgeist,” where we’ll be mapping out the details of AI adoption over the next 10 years and explore the critical changes in the AI ecosystem that business leaders need to understand.

Accessibility of AI in Business - AI Zeitgeist

The Increasing Accessibility of AI in Business (AI Zeitgeist 4 of 7)

This article is part 4 of a 7-part series called “AI Zeitgeist,” where we’ll be mapping out the details of AI adoption over the next 10 years and explore the critical changes in the AI ecosystem that business leaders need to understand.

The Evolution of AI Talent and Training - AI Zeitgeist 3

The Evolution of AI Talent and Training (AI Zeitgeist 3 of 7)

This article is part 3 of a 7-part series called "AI Zeitgeist," where we'll be mapping out the details of AI adoption over the next 10 years and explore the critical changes in the AI ecosystem that business leaders need to understand.

How "AI" Will be Discussed in the Future - AI Zeitgeist 2

How “AI” Will be Discussed in the Future (AI Zeitgeist 2 of 7)

This article is part 2 of a 7-part series called "AI Zeitgeist," where we'll be mapping out the details of AI adoption over the next 10 years and explore the critical changes in the AI ecosystem that business leaders need to understand.

The 3 Phases of AI in the Enterprise: Emergence, Adoption, and Dispersion

The 3 Phases of AI in the Enterprise: Emergence, Adoption, and Dispersion (AI Zeitgeist 1 of 7)

The following statements are all true, but not in the way you might think:

AI is hard for most companies to adopt.
Machine learning talent is hard to find and hard to hire.
AI gives some companies new ways to compete in the market.

Will There Be Another Artificial Intelligence Winter? Probably Not

Will There Be Another Artificial Intelligence Winter? Probably Not

Here at Emerj we’re dedicated to cutting through the AI hype that’s permeating the current zeitgeist in the business world. Although we’re skeptical about many of the claims that AI vendors make on their websites about what they’re AI software can do, it seems unlikely that the AI hype is going to disappoint venture capitalists and governments enough to usher in a third AI winter.

Feature Engineering for Applying AI in Business

Feature Engineering for Applying AI in Business – An Executive Guide

We talk a lot about the concept of connective tissue here at Emerj, the fact that a company that wants to apply AI not only needs to have access to data, not only needs to hire normally very expensive artificial intelligence talent, but also has to have the connective tissue of related subject-matter experts who can work with that talent.

Spot Fake AI Companies Quickly - Look out for the Fake AI Rebrand

Spot Fake AI Companies Quickly – Look Out for the Fake AI Rebrand

We've seen a lot of what we call "fake AI rebrands" in the last 18 months, and I suspect that as long as AI is a buzzword, we will only see more and more of this. Business leaders are going to have to keep their eyes peeled for these kinds of companies in their midst.

"Psuedo-AI" and When It's Okay for Humans to be Behind the AI

Pseudo-AI – When “AI” is Really a Human, but That Might be Okay

One of the biggest problems facing business executives when it comes to adopting AI is determining whether a company is truly leveraging AI or simply using the term as a marketing strategy. We have discussed rules of thumb for assessing the authenticity of AI companies in previous articles based on insights derived from hundreds of interviews with industry experts and AI researchers over time.

Will Robots Take Your Job? Don't Trust Startups and Enterprises to Tell You

Will Robots Take Your Job? Don’t Trust Startups and Enterprises to Tell You

Something that dawned on me very early on in reading biography and history is that incentives rule the world, that company's, nations, individuals ultimately do things primarily for their own self-interest. And there's nothing inherently wrong with that, but it's important to bear it in mind.

The AI Advantage of the Tech Giants: Amazon, Facebook, and Google

The AI Advantage of the Tech Giants: Amazon, Facebook, and Google

If one tunes into social media, it's easy to be convinced that every AI startup is making a lot of money, making a big difference in the companies that they're working with, and driving real revenue. However, as we've mentioned many times here at Emerj, most AI applications are really in pilot mode.

Fake "AI Experts" on LinkedIn - and How to Spot Them Quickly

Fake “AI Experts” on LinkedIn – and How to Spot Them Quickly

Finding the right people to do a job has always been a problem, especially when it requires a high level of expertise. Hiring professionals (84%) are relying more and more on social media to find the right talent, and B2B executives often look to LinkedIn for leads when it comes to finding the right companies to provide crucial services. It is no wonder that people and companies hoping to catch their attention make a point of putting up a robust profile on LinkedIn. However, businesses looking for companies to provide artificial intelligence services need to look at these profiles carefully.

Where Can Artificial Intelligence be Used in Business? - An Executive Guide

Where Can Artificial Intelligence be Used in Business? – An Executive Guide

Most of the time when we have requests for speaking engagements here at Emerj, they're from business leaders. At the time this article was published, I just came back from a presentation at National Defense University in Washington DC. Presenting there was unique in many regards. Obviously, the use cases for tanks and submarines are quite different than they are for drug development or selling more products off retail shelves.

Applying AI in Business - The Critical Role of Subject-Matter Experts

Applying AI in Business – The Critical Role of Subject-Matter Experts

We have discussed the importance of having the right talent in place when it comes to AI adoption in enterprise quite thoroughly here at Emerj. The scarcity of data science talent and its price point are one of the main reasons small businesses are not likely to adopt AI successfully at this time.

The Difference Between Artificial Intelligence and Machine Learning

The Difference Between Artificial Intelligence and Machine Learning

Broadly, artificial intelligence involves a machine doing something that only a human would be able to do. That said, computer scientists disagree on if certain computing capabilities from several years ago still constitute AI. Nowadays, many of these capabilities might just be called software.

Applying Artificial Intelligence in B2B and B2C - What's the Difference?

Applying Artificial Intelligence in B2B and B2C – What’s the Difference?

We discussed the difficulties large businesses may have in adopting AI in our previous article; despite this, last month we fleshed out the reasons why it’s still more difficult for small businesses to apply AI than the enterprise and how they might catch up to larger businesses in the future.

Managing the Risks of AI - A Planning Guide for Executives

Managing the Risks of AI – A Planning Guide for Executives

This article is based on a presentation given by Emerj CEO Dan Faggella at a recent conference “Artificial Intelligence and Business Ethics: Friends or Foes?” held at the University of Notre Dame. 
The conversation about artificial intelligence and ethics ranges from the broad to the specific. On the one end, there are governments making laws and policies on national, state, and local levels. In the middle, you have industry-wide agreements on certain protocols on privacy expectations, ways of handling customer data, and other ethical considerations within the framework established by the government.

How to Tell if an AI Company is Lying About Using AI

7 Ways to Tell if an AI Company is Lying About Using AI

A few months ago, we spoke about three rules of thumb for assessing companies and trying to figure out if they are really doing AI or just using it for marketing purposes in our How to Cut Through the Artificial Intelligence Hype piece. Since it was so popular, I was inspired to write this follow-up.

Ben Levy Emerj

Should My Startup be Using Machine Learning and AI?

Almost all young companies and companies in the start-up ecosystem today would like to talk about how they leverage AI or machine learning. In most cases, this is to make their product sound special and exciting. However, the fact is most young companies do not have the resources or the talent needed to leverage artificial intelligence in a way that would add to their value proposition.

How to Cut Through the Artificial Intelligence Hype - Three Simple "Rules of Thumb"

How to Cut Through the Artificial Intelligence Hype – Three Simple “Rules of Thumb”

Artificial intelligence and machine learning are hot terms right now, and many companies are eager to talk about how their products rely on these cutting edge technologies. Established companies and startups want to explain how AI is a critical part of their business.

Is Artificial Intelligence for Small Business?

Is Artificial Intelligence for Small Business? Factors to Consider for Technology Adoption

AI is being likened to a "Fourth Industrial Revolution" because of it's potential for creating profound change in people’s lives, much like the invention of steam engines (First Industrial Revolution), electricity and mass production (Second Industrial Revolution), and the rise of the digital age (Third Industrial Revolution) had in the past.

1

Enterprise Adoption of Artificial Intelligence – When it Does and Doesn’t Make Sense

Chances are you have already been bombarded on social media or in your inbox about all these “revolutionary AI” this and “game-changer AI” that.

How to Apply Machine Learning to Business Problems 3

How to Apply Machine Learning to Business Problems

It's easy to see the massive rise in popularity for venture investment, conferences, and business-related queries for "machine learning" since 2012 - but most technology executives often have trouble identifying where their business might actually apply machine learning (ML) to business problems.