Stakeholder Journey Maps are a fabulous tool to intimately understand what a stakeholder is trying to accomplish (their objectives and intentions) and the steps/actions/decisions that stakeholder needs to make to complete their journey. Stakeholder Journey Maps are commonly used to help designers to create the optimal user interface and nicely segue into UI storyboards and wireframes. But oh, design is so much more than just a pretty UI. What I find even more exciting – and profitable – about a stakeholder journey map is how one can use it to understand where and how to leverage big data plus advanced analytics (artificial intelligence, machine learning, deep learning) to create Data Products that re-invent those stakeholder journeys and transform the stakeholder experience. I think this is going to be fun!

One of the key applications of machine learning for small businesses is by using it for tracking their customers at various stages of the sales cycle.

If there's one thing Rory Armes wants audiences at Buildex Calgary to understand, it's the idea that even a small investment in big data and predictive artificial intelligence (AI) can provide actionable insights and pay solid dividends. Armes is CEO of Eight Solutions Inc., a company built on the idea that any business, large or small, can benefit from big data analytics and predictive AI. Its proprietary solution is Cumul8, a cloud-based Internet of Things platform that accepts a wide range of data from any type of monitoring device, then teases valuable conclusions from that data. "People are sometimes left with the notion that they either go all-in on costly predictive AI systems, or stay out of it altogether," says Armes. "Those unrealistic polar choices leaves them comatose." He aims to demystify the concepts around big data in a construction context, explain predictive AI and show how it can quickly demonstrate value.

The marketing industry is rapidly evolving. It's at a new phase where Big Data and AI (Artificial Intelligence) are driving strategy development and decision making. Because conventional analytics scale at a gradual pace, marketers are beginning to utilise AI to analyse the large volume of unstructured data to improve marketing research, forecasting accuracy and campaign experiences. A research of CMOs from the US, UK, and China from companies with more than $500 million in revenue revealed that around two thirds of these think Artificial Intelligence will play a significant role in their future marketing operations. But only a third claimed to have good knowledge of how it is actually implemented.

The global scientific community has come a long way since the development of Artificial Intelligence (AI) as a concept to its modern-day appeal as a field with near-limitless potential in turning around the way activities are performed in society. The ultimate frontier for AI systems continues to be achieving a level of sophistication that matches that of the human mind. There appears to be a lot of optimism around the potential of AI in enhancing government initiatives such as Make in India, Skill India, and Digital India which have put India on the path of a technological revolution. Since the effectiveness of AI, machine learning, robotics and cognitive automation increases with a rise in the quality and quantity of training data that the systems are exposed to, conditions are ripe for India to leverage Big Data for intelligent decisions and emerge as a leader in AI. AI techniques can be applied in large-scale public initiatives ranging from crop insurance schemes to tax fraud detection to enhancing our security strategy.

The marketing industry is rapidly evolving. It's at a new phase where Big Data and AI (Artificial Intelligence) are driving strategy development and decision making. Because conventional analytics scale at a gradual pace, marketers are beginning to utilise AI to analyse the large volume of unstructured data to improve marketing research, forecasting accuracy and campaign experiences. A research of CMOs from the US, UK, and China from companies with more than $500 million in revenue revealed that around two thirds of these think Artificial Intelligence will play a significant role in their future marketing operations. But only a third claimed to have good knowledge of how it is actually implemented.