Machine learning can be described as a form of statistical analysis, often even utilizing well-known and familiar techniques, that has bit of a different focus than traditional analytical practice in applied disciplines. The key notion is that flexible, automatic approaches are used to detect patterns within the data, with a primary focus on making predictions on future data.

Thank you all for your support and cooperation.Regards,Ajit Singh

The entry pages for the International Data Science Awards are now live and entries are being accepted. The awards were launched at the AI & Big Data Expo held at Olympia, London on 25 April. Entry pages will remain open until September with judging taking place in October.

Its now time to start thinking about the project you will enter into the International Data Science Awards. The Support of the Chartered Institute of Public Relations will really help to raise the profile of the awards and generate interest in the participants

A business ecosystem, first defined by James F Moore, is “An economic community supported by a foundation of interacting organizations and individuals. In this regard, an ecosystem does not yet exist in Europe for Big Data. However, from at least one perspective a Big Data ecosystem (removal of ‘business’ is deliberate) does exist in many industries in a very simple form.

Request you all to please share your valuable and experienced suggestions...

Have you ever wondered how your favorite coffee shop uses data analytics and business intelligence (i.e. BI) to deliver to you the unique Starbucks Experience? This largest and the most recognizable coffee brand is one of the places where business and data analytics solutions meet in the real world.

I tried at my best to bring the retail coffee business across all of you.Request you all to please share your valuable and experienced suggestions......Regards,Ajit Singh

A two-day meeting to present recent developments in data science. This year's meeting is themed around four topics: Health & Wellbeing, AI & Robotics, NLP & Text Mining and Security & Privacy. Invited speakers include leading data scientists from industry and academia, and there will be the opportunity to submit abstracts for talks and posters. Talks will range from application-focussed to advanced data science methodologies.

Nice initiative and hope for the best......

This article described about how Artificial Intelligence can play a significant role in HR activities starting from employee hiring till payroll and leave management.

Excellent coverage on HR Operations along with AI........

Graph analytics, which is an analytics alternative that uses an abstraction called a graph model. The simplicity of this model allows for rapidly absorbing and connecting large volumes of data from many sources in ways that finesse limitations of the source structures (or lack thereof, of course). Graph analytics is an alternative to the traditional data warehouse model as a framework for absorbing both structured and unstructured data from various sources to enable analysts to probe the data in an undirected manner. Big data analytics systems should enable a platform that can support different analytics techniques that can be adapted in ways that help solve a variety of challenging problems. This suggests that these systems are high performance, elastic distributed data environments that enable the use of creative algorithms to exploit variant modes of data management in ways that differ from the traditional batch-oriented approach of traditional approaches to data warehousing.

Request you all to share your valuable suggestions....

Director and Founder of the Data Science Foundation, Chris Tomlinson, chaired the Big Data Business Solutions Conference Friday 26 April 2019 as part of the AI & Big Data Expo at Olympia, London. The conference sessions were designed to help organisations get the most out of their data projects, allowing them to make informed business decisions and to become data-driven.

Congratulations......Excellent contributions from the each & every participants.

Banking industries are rich with data. Used or unused, there is an excess amount of data in these sectors. Most banks are under pressure to stay profitable and simultaneously understand the needs, wants and preferences of the customers. Lately, many financial institutions have adopted new models that help them to compete. Banks need to go beyond their standard business reporting and sales forecasting to be able to identify a set of crucial factors relating to success.

Please share your valuable suggestions........

This is a quick guide on how to download a copy of the personal data that Facebook holds on you. It will make interesting reading, enjoy…

Thank you for your valueable appreciation.