“Data Science for All webcast”- An IBM Creation



Undergoing data science journey for experiencing best possible data expertise and exploring the tools optimally, IBM created the ‘Data Science for All webcast’. Rob Thomas, IBM VP of Analytics, and Katie Linendoll recently hosted the live broadcast to spread awareness among targeted masses regarding the IBM approach to enterprise data science. The panel within the broadcast was seen discussing the issues confronted by businesses trying to look for appropriate solutions around consuming data, and practicing data science with that data.

It could be drawn from the discussion that enabling data science is becoming increasingly important as an essential asset to every company, and in every industrial sphere. FiveThirtyEight’s Nate Silver shed light about that importance, the value that data science is capable to provide in informing his own writing. In this writing he covered topics across sports and politics.

In the context of the need for data science, Rob and Katie held long discussion about the fact that data literacy for everyone to acquire is the need of the hour. The leaders of what Galvanize Director of Data Science Nir Kaldero dubs the "Fourth Industrial Revolution" will be those who have acknowledged the importance of data literacy and embraced data as an asset. With more than 80% of consumable data stuck behind the firewall, however, the enterprise machine learning space requires appropriate assistance.

Data analysts, machine learning engineers and data scientists require a multi-cloud workbench solution. These separate functions need to work in close collaboration and data science does require becoming a team sport. IBM Data Science Experience happens to be the workbench that facilitates that collaboration all through every possible team, data, tools and deployments.

The IBM Data Science Experience release is the team-wide solution to collaborative machine learning. It can be described as a tool set formulated to target data scientists, with its open-source project compatibility and hassle-free deployment. It is further found to be designed to enable the non-coder; who doesn’t know languages like Python, Scala, or R. Integrating data science practices definitely can become easy with IBM Data Science Experience.

IBM has tried going beyond tight integration, featured within the release announcement, with the leader in the big data and enterprise Hadoop — Hortonworks. Now one can find an enterprise solution for making quality use of those vast lakes or dark data. Not just companies now can explore their on-premises data and design their machine learning models behind their firewall, with the help of IBM Data Science Experience, but they also can publish those models for consumption purposes on a public cloud.

Get enrolled in apache spark and scala training in Bangalore at NPN Training leaded by qualified industry leaders.

Comments

Post a Comment

Popular posts from this blog

How Can SDET Training Progress Your Career?

With the rising innovation and fast-paced developments in the IT sector, there is a growing demand for people who can create user-friendly and useful programs to assist in problem-solving, as well as effectively check if the software is completely error-free and works properly. The Software Development Engineer in Test (SDET) is an IT specialist whose area of expertise covers the program development and testing and evaluations equally effectively. SDET is interested in the entire process of software development, write from code creation to deployment. The expertise of an SDET professional is intensely focused on the testability, reliability, and performance of the program. Hence, the SDET is in high demand in IT companies who wish to downsize their organizations, as they can extract software development and testing services from a single individual. Taking professional SDET training in Bangalore can effectively boost your career in the following ways: 1.        Broader
Read more

Why did Google Stop Using MapReduce and Start Encouraging Cloud Dataflow?

First of all, it is important to know that the old and the conventional MapReduce model is still being used for certain batch computing activities. Nevertheless, there are some specific tasks that cannot be carried out with the help of MapReduce and it is only because of this reason that Google has recently stopped using MapReduce and has started with the use of Cloud Dataflow. For example, Google web search index updating activity is dealing with a huge amount of data but it requires incremental updated on a constant basis. As per reports, Google has come up with an incremental computing mechanism known as Percolator for carrying out this huge data activity. It is important to note that Google has come up with a streaming computing mechanism known as Milwheel for carrying out low-latency computing jobs. Different services such as Google Map views now depend on Milwheel. One thing that is worth noting is that the applications of Google are not created from, no
Read more

Benefits of Spark and Scala Training

Technology needs to be learned from seasoned professionals. Software training needs to be applicable to business and adapted to the real world. Changes and developments are occurring at such an unprecedented level in the IT world that it has become essential for all of us to constantly update and upgrade our skills and practical knowledge. Spark and Scala Training in Bangalore is a platform for the IT inspired souls who wish to be the next generation of Torch Bearers in the Information Technology sector. It is a place for people to constantly incorporate new innovations into their skillset and learn to code in new languages. Sparks and Scala Training in Bangalore is a training that improves your skillset and expands your mind. Some of the myriad benefits of joining this program are listed below: - 1.       Hands-On Learning : The Apache Spark and Scala training in Bangalore lay great emphasis on learning by doing. This course requires you to actually practice everything you
Read more