Artificial Intelligence (AI) is a developing force in the innovation business. Artificial intelligence is becoming the center point at meetings and showing potential across a wide variety of projects, including retail and manufacturing. New items are being integrated with virtual assistants, while chatbots address client inquiries on everything from your online office provider's website to your web hosting service provider's help page. But then, organizations, for example, Google, Microsoft, and Salesforce are integrating AI as an insight layer across their whole tech stack. Indeed, AI is having its moment.

Fast forward, I graduated and got an internship focusing on machine learning, where they offered me a full-time position in Data Science! This might be an extra scoop lol but I was part of an art program in high school, and when my journey in CS started, I feared I would lose that creativity in me. Luckily, I discovered as I got more into programming that my left and right side of the brain complement each other more and more, just as grapes and cheese do. What is the biggest achievement of your life till now? I am proud of not giving up even when things didn't look bright at all, not a single speck of light in the tunnel!

A large number of firms are still reporting a 50% failure rate for AI projects, pointing to the lack of unrealistic expectations and AI skills as the two main roadblocks. In such a rapidly growing market, the adoption of AI needs a clear plan to overcome these challenges. Whether it's through the growing AI investment – which is expected to skyrocket to $98bn by 2023 – or the fact that AI projects are set to double over the upcoming year, organizations are improving efficiency, performance, and analytics capabilities with the support of AI to solve real-world problems faster. McKinsey found that in two-thirds of the use cases, AI – specifically deep learning – improved performance beyond that provided by other technologies. Below are the steps to ensure the smooth and successful implementation of AI.

In a world dominated by data, Data Science is the ladder to building a promising career in unique and challenging job positions. Kickstarting your career in Data Science is now easier than ever thanks to the vast pool of online platforms offering Data Science courses. These courses are specially designed to walk you through the concepts and intricacies of Data Science. But, do you know the exact way to climb the ladder? Fret not, for we're here to show you how! So, let's begin, shall we?

In 2017, it's time for artificial intelligence (AI) to be part of your company's strategy. More than 10 million Amazon Echo devices have been sold in the U.S. alone, and 1 billion people use Facebook Messenger each month. Consumers are slowly starting to embrace the tens of thousands of third-party skills, chatbots, and mobile AI interfaces. Brands have the opportunity to add their services to the growing list of popular platforms. However, many underestimate the complex journey that awaits them when developing AI -- especially considering how unique each brand's bots, audience, and optimal platforms can be.