Of late, Microsoft- the tech mogul, like Google and IBM has deciphered massive potentials in launching quantum computing to eradicate the world’s biggest problems. Researchers at IBM, Intel and others are on an amazing scientific rat race to develop a commercially viable super quantum computer. Though they exist in laboratories, bringing it into the real world is going to be an altogether different endeavor.
The concept of quantum computer is somewhat different and is not based on the use of binary logic. According to its nature, a quantum computer is a simple yes/no/both device – where a programmer doesn’t have to choose between options, he is free to make all the choices in the world and that makes all the difference in the world.
With data analytics flourishing the manner it is, a lot of you hailing from IT background are sincerely thinking about making the remarkable switch from IT to Analytics. The skills you possess are transferable and the data structure fascinates you. You know very well, you will make more money in analytics and your career pathway will seek you great rewards. Yet something is stopping you from going!!!
What it is? Why are you feeling apprehensive to make the bold move that could change your life and career forever?
Data is the new oil – processing it into actionable intelligence is the only way of leveraging its potentials to the fullest. On this note, CIOs are courting predictive analytics tools, curating machine learning algorithms and battle-testing cutting-edge solutions to amp up business efficiencies and devise better ways to fulfill customer needs.
For robust technological growth, CIOs are investing more than ever on newer tools and systems that supports data science. Going by the research statistics of IDC, worldwide revenues in the field of big data and data analytics are expected to soar high above $150.8 billion in 2017, an increase of 12.4%over 2016. Also, commercial purchases of software, hardware and services in pursuit of boosting big data and business analytics are expected to cross $210 billion.
Today, businesses are in a rat race to derive relevant intuition and make best use of their data. Several notable organizations are skimming with cutting edge data science terms and resolving intricate problems (some being more successful than others).
However, the crux lies in determining the present stage of data science your organization has embraced, followed by ascertainment of the desired level of data science.
The Blockchain, the brainchild of a single curator or a group of specialists known by the nom de guerre, Satoshi Nakamoto is indisputably a brilliant invention. With the passage of time, it evolved into something greater and more insightful.
Drop by DexLab Analytics to know more about Big Data and Data Analytics courses.
Designing Big Data architecture is no mean feat; rather it is a very challenging task, considering the variety, volume and velocity of data in today’s world. Coupled with the speed of technological innovations and drawing out competitive strategies, the job profile of a Big Data architect demands him to take the bull by the horns.
Use intelligence to make the world a better place to live in – Google’s London-based AI coterie, DeepMind is a pioneer in artificial intelligence research programs and has churned out two distinct types of AI that uses the ‘power of imagination’ to plan ahead and fulfil tasks with a higher success rate than the previous ones that lacked imagination.
In a recent interview, DeepMind researchers shared a crisp review of “a new family of approaches for imagination-based planning.” I2As, the so-called Imagination-Augmented Agents make use of an internal ‘imagination encoder’, which helps the AI determine what are and what aren’t productive predictions about its atmosphere.
The fascinating world of Business Intelligence is expanding. The role of data scientists is evolving. The mysticism associated with data analytics is breaking off, making a way for non-technical background people to understand and dig deeper into the nuances and metrics of data science.
“Data democratization is about creating an environment where every person who can use data to make better decisions, has access to the data they need when they need it,” says Amir Orad, CEO of BI software company Sisense. Data is not to be limited only in the hands of data scientists, employees throughout the organization should have easy access to data, as and when required.
It is July 1st, 2017 – the epic day when GST, aka The Goods and Services Tax comes into effect, simplifying the whole tax collection procedure of the nation. From today, there will be a single tax on the supply of goods and services that will replace all other state and central levies. GST is pegged to be one of the most impressive economic tax reforms implemented by PM Narendra Modi to take Bharat to the summit of transparent digitization.
Data is crucial. While it ushers in a greater transparency and simplified tracking through data, it also unleashes the requirement for Data Analytics and ERP solutions. Besides, GST includes several billing software and payment gateway channelization, triggering plenitude of job opportunities in the IT sector. Reports say it is going to be a $1 billion opportunity for IT vendors over the next two years. Quite a lot to think about!
Bored of the same old fitness routine?
This International Yoga Day, dust off your yoga mat and take a holistic approach to health and wellbeing.
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