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 […]

“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 […]

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 […]

Several years ago, a product manager at a tech company had a data collection problem: to scrape software security vulnerability data from multiple web sources, consolidate the vulnerabilities and store them in a database. As this was an automation problem relating to data, the product manager (PM) immediately concluded that this was a machine learning problem. The PM then “hired” the company’s data science team to build ML models to solve the problem.  The data science team agreed to the […]

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. Common AI […]

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 comes to AI, it’s not far-fetched to […]

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? 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 sentiment orientation. These sentiments can be as broad as just saying that the specific content is from a “detractor” or “promoter,” or it can be […]

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 […]