Data Science is an umbrella term that covers areas – Data Analytics, Big Data, Business Analytics, Machine Learning, Artificial Intelligence and Deep Learning. This immense field has changed what businesses look like into data and convert them into usable insights. Advancement in technologies and data science tools have changed the manners by which organizations work and grow. India, being a mother lode of ability, is the top destination for national and global companies searching for qualified Data Science experts. Over recent years, the demand for Data Scientists has developed exponentially.

SAN FRANCISCO, Calif., Aug. 27, 2020 -- Absolutdata, provider of AI-powered solutions, advanced analytics and data science services, announced it has joined the Nielsen Connect Partner Network, the largest open ecosystem of technology-driven solution providers for retailers and manufacturers in the consumer packaged goods (CPG) industry. The partnership enables integration of Nielsen data into Absolutdata's NAVIK AI-Enabled Intelligence Platform, starting with the ASK NAVIK module. As a Silver Partner in the Nielsen Connect Partner Network, Absolutdata can build products that directly and quickly integrate Nielsen data, the gold standard in data for CPG retailers and manufacturers, into its solutions. The partnership supercharges Absolutdata's cutting-edge ASK NAVIK, an AI-powered intelligent virtual assistant for business users that enables a user to have a single window for accessing all the information included in structured and unstructured data. A business user asks a question in plain English and ASK NAVIK searches all the dashboards, databases and text reports to provide instantaneous answers.

From chatbots shopping recommendations -- AI has impacted every user's life today For most users, the first experience of artificial intelligence (AI) was through chatbots that responded to questions with preset responses. From Indian Railways' saree-clad chatbot Disha, to Amazon and Flipkart's shopping assistants, to Instagram's algorithm-backed advertisements, dynamic pricing on Uber and Ola to restaurant recommendations on Zomato and Swiggy -- are all examples of AI use-cases in digital marketing. While that may be the most basic way that AI and natural language processing is being used in India for marketing and sales, these days technology has grown beyond just bots on websites. According to Sudeshna Datta, cofounder of Absolutdata, marketing is largely about enhancing user experience whether traditional or digital. And these days, artificial intelligence is helping digital marketers provide the customer experience that directly boosts retention and increases brand loyalty measurably.

If you've struggled to get an AI project off the ground, you're not alone. A report published earlier this year by Databricks found that just one in three AI initiatives are considered successful. The survey, conducted by CIO/IDG Research Services, also found that it typically takes over six months for a project to proceed from development to production. Despite the long lead time and low success rate, nearly 90 percent of the companies surveyed in the Databricks report say they're investing in AI solutions. That's because they understand its potential, which is enormous.

The use of Big Data has continued to grow and mature, with some organizations reaping considerable rewards. The processing of Big Data has recently advanced to a new level of evolution, in the form of AI (Artificial Intelligence) platforms. AI platforms promise significant impact (and disruptions) over the next decade. The use of AI to process massive datasets will bring previously unknown improvements to Business Intelligence and Analytics among innumerable other technologies. According to Anil Kaul, CEO and co-founder of Absolutdata, In mid-2000s, the concept of using Big Data to "train" Artificial Intelligence was developed, and advanced with several successes.

Market researchers face pressure to produce better results at faster speeds. Can AI help them meet this challenge? We usually hail the near-instant availability of information as a good thing, but it has its drawbacks. People are used to having their needs fulfilled almost on command. In this environment, waiting for anything â€" even high-quality research â€" can feel like an imposition.

You've probably received the advice at some point in your life that "context is everything." While it's probably wise to avoid relying too heavily on clichés to guide your life, when it comes to using AI successfully, context does in fact matter a lot. Enterprises often seem to operate between two bipolar views of AI. On the one side, there's the optimistic idea that you can just plug in an AI platform and it will immediately start spitting out predictions to radically reshape the business. On the other, is a more fearful, pessimistic view of AI's potential, in which the black box of AI algorithms means that we should be skeptical because we can't understand how the technology arrived at its predictions.

You've probably received the advice at some point in your life that "context is everything." While it's probably wise to avoid relying too heavily on clichés to guide your life, when it comes to using AI successfully, context does in fact matter a lot. Enterprises often seem to operate between two bipolar views of AI. On the one side, there's the optimistic idea that you can just plug in an AI platform and it will immediately start spitting out predictions to radically reshape the business. On the other, is a more fearful, pessimistic view of AI's potential, in which the black box of AI algorithms means that we should be skeptical because we can't understand how the technology arrived at its predictions.

Data we have; time, not as much. How can teams use – sales enablement technologies based on artificial intelligence (AI) to maximize their use of time and become sales heroes? Time, speed and data are the big three of sales success. Of these, time is finite; we can have a virtually limitless amount of data and tremendous processing speeds, but each sales team has the same amount of time. When we maximize time, we maximize profitability and productivity.

How can AI help them save time and become more productive? AI is gaining popularity because it can transform and process vast amounts of various kinds of data. It can learn from its own performance and deliver better results over time. But what can it do specifically for the sales team? How much of a change can it have in productivity and efficiency?