Video content will become richer and more data-intensive as it evolves from HD to 4K to 360 and even 8K. Companies are moving these visual workloads to the cloud and edge in order to keep up with capacity, growth and service demands. With the emergence of edge computing and cloudified, 5G networks, organizations have an opportunity to deliver insights through artificial intelligence (AI) that complement new user experiences and are adaptable to the complexities of delivering video content to a global audience. Companies need a visual cloud and media analytics platform that is flexible enough to support changing business models and deployment options, software that enables rapid innovation, and hardware that can scale to provide a range of performance, all while being able to lower total cost of ownership and grow profitability. Intel launched the Intel Select Solutions for Visual Cloud to give companies an easier path towards successful content creation and delivery starting with the Intel Select Solution for Simulation and Visualization and Intel Select Solution for Visual Cloud Delivery Network.

As Artificial Intelligence, Machine Learning is evolving at a rapid speed in India and across the globe as well, and these techniques are particularly getting into every field. Retailers are using Artificial Intelligence, social media analytics to understand a targeted set of customer's shopping behavior and preferences. Tribetailing is the strategy adopted by Retail firms to identify and target customers who would most benefit from the offerings. Instead of marketing to everyone for a particular product or an offer Retailers are using this technique to focus on only potential customers. A report "Know your customers: What you see is what you get" said, "There is a dynamic change in customers preferences, Tribetailing helps retailers connect to the customers and understand them better. Artificial Intelligence, Social media analytics, and machine learning are the technologies used by retailers to get information about their customer's online activity, preferences, shopping behavior, history of the customer. With these advanced technologies, retailers can categorize customers in different categories and then coming up with the best solution, offer different offers accordingly such as promotional programs such as membership and discount offers according to the characterization. This info, it stated, is helping retailers to group customers in categories that are different and think of bespoke solutions, and devise personalized advertising and promotional programs like membership as well as commitment programs and discounts to focus on a particular category. With the growth of a tech-savvy and informed more customer base, retailers are more and more replacing the conventional mass-market approach with specific techniques created using insights driven from customer information, stated the report, that had been unveiled in connection with Mapic India. Anil Talreja, partner, Deloitte India said, "with the advent of technology customers trends are evolving at a rapid pace and customers are evolving to proactive seeker of products from a reactive entity.

Most of us use it personally, and, in many cases, on our employer's behalf as we run a full content strategy plan to best market the product or business we're offering, writes Louise Auty, Content Lead, Beaconsoft Ltd But how many of us are actually getting the best value out of it and using it in a way which gives the greatest return on investment for the hours we put in? Making the most of social media web analytics is a tricky proposition to get right as there's an almost unlimited mine of data out there and finding the hidden gems can be time consuming. An updated GreenZone, few additional features evaluated and here comes the refreshed Buyer's Guide no SMB can afford to miss! Different tools are available for different jobs, but the chances are most people will have at least taken a glance at Google Analytics, as well as the inbuilt data metrics provided by platforms such as Facebook, Twitter, Instagram, LinkedIn and the rest. Every time someone takes an action on a social media platform, a digital footprint is created. Each time someone else reads that content, they're adding to the footprint and widening its reach. Analysing that trail is where the skill comes in for digital marketers.

First, Let us understand Web Analytics, by definition "Web analytics is the measurement of data, the collection of information, analysis, and reporting of Internet data for the purposes of optimizing and understanding Web usage. Here the web usage refers to the respective business website usage data. What are all the information can be gathered from web usage data? And, how could it be leveraged for business benefits? Let us discuss these questions later in this article.

Now Let us understand social media analytics. Social media analytics is the practice of gathering data from social media websites or networks such as Facebook, Twitter, Google plus, etc. and analyzing those metrics to understand insights to make business decisions. Most often people confuses between web analytics and Social media Analytics, let us have a clear demarcation between these two. Web analytics uses the data collected directly from a particular business website and Social media analytics uses the data collected from social media networks. In general, Web Analytics tells you about your traffic levels, referral sources, bounce rate and user behaviour on your website.