Data collection has become remarkably easy for businesses with the emergence of several digital communication channels. Using machine learning in digital marketing enables organizations to harness data to improve their micro-moment marketing strategies. Marketing has always been about connecting the gap between you and your target audience. To achieve that objective, you need to know exactly what your customers need. For several years now, marketers have used existing trends and consumer demand patterns to create ad campaigns and long-term marketing strategies.

Over 80,000 businesses and millions of people use 1Password to protect their most important information. We're a kind, curious, and customer-focused team on a mission to build the world's most-loved password manager and give people more control over their data. The 1Password marketing team is committed to helping consumers and businesses everywhere keep their most important secrets secure online. We live that mission by providing the most rewarding and useful digital experiences without compromising our users' privacy. This may sound like a challenge to modern digital marketers, but we know this is the future, and our team is leading the charge.

'Data is the new oil', but only analytics-ready data is a real business asset and everyone knows this. However, absence of a cohesive strategy to incorporate cloud platform and data lakes, integrating and consolidating data warehouses, data hubs and databases as a single source of data, can easily send organisations into a tailspin. A huge volume of data is currently being generated from transaction applications, social media and operational devices and processes. Heterogeneous data sources and diversity of data management technology can further make it a management nightmare. Top executives managing global digital and marketing operations from the pharma industry agree that advanced data quality and analytics governance on data practices is the stepping stone for current and futuristic use cases of artificial intelligence (AI) and machine learning (ML) applications. According to John McCarthy, Principal Consultant, DT Associates, and former VP Global Digital, AstraZeneca, "as medicines become more expensive, clinical utilisation will be more and more dependent on diagnostic testing or even generic testing.

When you think of artificial intelligence (AI), do you imagine Will Smith battling humanoid robots? Well, think again…did you know that AI is already being applied in the Internet, helping you go about your daily life without drawing attention to itself? Artificial intelligence simulates traditionally human processes like learning, reasoning and self-correction. Unlike traditional programs, AI-based applications don't need to be continually fed data or manually coded to make changes to their functionality and output. AI can be (and already is) immensely useful to B2B professionals in all industries. Most people tend to think of "strong" AI examples like IBM's Watson, but "weak" or "narrow" AI is more common and useful to our businesses and everyday lives.

When you think of artificial intelligence (AI), do you imagine Will Smith battling humanoid robots? Well, think again…did you know that AI is already being applied in the Internet, helping you go about your daily life without drawing attention to itself? Artificial intelligence simulates traditionally human processes like learning, reasoning and self-correction. Unlike traditional programs, AI-based applications don't need to be continually fed data or manually coded to make changes to their functionality and output. AI can be (and already is) immensely useful to B2B professionals in all industries. Most people tend to think of "strong" AI examples like IBM's Watson, but "weak" or "narrow" AI is more common and useful to our businesses and everyday lives.

Advertisers must plan their entry into artificial intelligence. This was the rallying cry from SY Lau, SEVP of Tencent and President of Online Media Group (OMG). He was speaking at the 2016 Ninth Tencent MIND Conference where he laid out a three-step plan for brands looking to break past the A.I barrier in their marketing operations. His first piece of advice was reminiscent of advertising's ultimate promise -- be a trusted brand to people. He observed that rich user data is the fuel for the continuous growth of all brands in this period of digital sophistication.