This article discusses what an AI strategy means, the different types of AI strategies that you should know about, and how as a leader you can get started with an AI strategy. Table Of Contents What Is An AI strategy? Why Do Businesses Need an AI Strategy? Product Level AI Strategy Business Unit Level AI Strategy Organizational Level AI Level Strategy AI Startup Strategy Getting Started With Your AI Strategy Keep Learning & Succeed With AI What Is An AI strategy? An AI strategy may seem like a complicated business-speak, but it’s simply a vision or high-level plan for integrating ..read more

As AI continues to become more prevalent in our lives, it is crucial to consider the ethical implications of its use. Although AI can augment and revolutionize how we live, work, and interact with each other, it can also cause harm if not used or developed correctly. People can be wrongly imprisoned when facial recognition systems fail in law enforcement and the judicial system. People can be killed if self-driving cars fail to correctly see them as pedestrians on the road. Things can go awfully wrong if we fail to think about the implications of how we use and develop these AI-powered tools ..read more

There’s been a lot of talk about GPT-3 and generative AI in the news, social media, and probably from every AI practitioner or vendor whom you’ve been speaking with lately. Everyone is super excited about the future that such AI tools hold. But what exactly is AI technology -3 specifically and what does it mean for your business and your AI problems? Let’s explore! What is GPT-3? What Can GPT-3 Do? The Business Benefits of GPT-3 Is traditional ML going away because of GPT-3? What are the risks of GPT-3?  GPT-3 Examples GPT-3 Key Takeaways Keep Learning From Me: Further Reading What ..read more

Precision and recall are commonly used metrics to measure the performance of machine learning models or AI solutions in general. It helps understand how well models are making predictions. Let’s use an email SPAM prediction example. Say you have a model that looks at an email and decides whether it’s SPAM or NOT SPAM. To see how well it’s doing, you want to compare it with human-generated labels, which we will call the actual labels. To demonstrate this, the table below shows you some actual labels and the machine (model) predicted labels. Now we’ll assume that the spam prediction is positive ..read more

“Stop using AI.” This is how Dr. Kavita Ganesan, an AI expert since 2005, begins her book The Business Case for AI. In a refreshingly direct tone, Ganesan goes on to deliver the news that, yes, you probably need to rethink your use of AI and, no, it does not need to be this difficult or this expensive. While AI is a necessary tool for businesses to remain competitive, many find themselves worried about the investment, and the consequences– what if I’m using AI to solve the wrong problems? Could it really take away my job or my employees’ jobs? Ganesan is a sharp but assuring voice in a field f ..read more

Of late, we’ve been hearing about Twitter bots in the news due to the whole saga of Elon Musk buying Twitter. One of the reasons the deal took so long to pan out was Musk’s concerns about the number of spam bots running rampant on the platform. While Musk believes that bots make up more than 20% of accounts on Twitter, Twitter states that the number of bots on its platform is marginal. So, what’s this Twitter bot thing? A Twitter bot is essentially a Twitter account controlled by software automation rather than an actual human. It is programmed to behave like regular Twitter accounts, liking T ..read more

AI as a field, especially in the context of real-world applications, has been progressing at a rapid pace. This has been further accelerated by the onset of the COVID-19 pandemic. In fact, AI was found to be the most discussed technology in 2021. Having worked with numerous clients, big and small, in the integration of AI, here are 4 Business AI predictions in 2022 and beyond. #1 Many more “deployed” models In the recent past, businesses have had trouble operationalizing models and have not seen the value in many of their AI initiatives. In fact, Gartner’s research shows that only 53% of AI in ..read more

We’ve all heard of sentiment analysis, but what exactly is it and what can it do for your brand, your business, and how can you get started with it? Table Of Contents What is Sentiment Analysis? Why is Sentiment Analysis Important in Business? How are Businesses Using Sentiment Analysis? (Real-World Examples) How to Get Started with Sentiment Analysis Keep Learning From Me: Recommeded Reading What is Sentiment Analysis? Sentiment analysis relates to analyzing content such as social media comments, customer feedback, employee feedback, and even facial expressions in images to render senti ..read more

When it comes to software automation, many teams turn to AI as their potential answer. AI in the form of machine learning or NLP may be an excellent solution to a problem. But did you know that the best way to start AI initiatives is to start with no AI at all? This may seem counterintuitive, but there’s a simple reason for it. It’s because you may not be ready for AI as a solution. There could be several missing elements that’ll prevent you from seeing success with AI if pursued prematurely. When it come ..read more

One of the problems business leaders face in communicating with their technical counterparts is trying to describe their AI problem. To simplify some of the communication, here are some common AI problem types. Try to map AI opportunities at hand to these common problem types. Note that the problem types often overlap—but that’s ok. The key is to identify problem types that most closely match the task at hand when communicating with your AI and data science experts. Table Of Contents Common AI Problem Types 1. Classification 2. Regression 3. Recommendation 4. Search Relevance 5. Informatio ..read more