[ad_1]<div _ngcontent-c14 = "" innerhtml = "
Getty
Pressed Data News, January 16, 2018
Data is eating the world. Here's what he's doing today:
Fractal analysis I just announced it Apax partners, a global private equity consulting firm, has agreed to acquire a significant minority stake in the company for $ 200 million. Fractal Analytics was founded in 2000 by four Indian entrepreneurs and today has an annual turnover of $ 100 million and employs over 1,200 consultants in over 15 locations, including the United States, United Kingdom and India.
One of the founders, Srikanth Velamakanni, who is today Chief Executive and Vice-Chairman of the Fractal Analytics Group, said in a statement: "We are making progress on our goal of building a $ 1 billion company in space revenue. AI, & nbsp, thanks to our unceasing focus on serving Fortune 500 companies globally to enable a digital transformation led by the AI in their operations. "
"AI" and "digital transformation" are the correct order words to use today to describe the current status of "decision-making based on data, "The fast-growing business to make sense of the ever-growing data repositories that have been gathered by companies in the last thirty years, six years before Tom Davenport and Jeanne Harris were" analytics "(in Compete on Analytics) the new new keyword to capture what should be done with the data, the founders of Fractal Analytics saw the emerging market for data analysis, later described as "big data" and now as "AI".
Today, the data that is eating the world is stored not only in data centers or consumer phones, but also in the cloud. To avoid relying on a single cloud "location", companies use more clouds, often from different cloud providers.
To keep data available and consistent across multiple cloud environments in different geographic areas while taking advantage of the unique or better performing capabilities of each cloud, WANdisco has just announced the general availability of LiveData for MultiCloud. Based on a patented high performance blockchain technology, WANdisco claims it is the only platform that can continuously replicate petabyte data with zero loss or downtime in multiple cloud environments.
Companies want their data to eat the world all the time, all over the world, matching the right data with the right position and the right task. WANdisco CEO and co-founder David Richards said in a statement: "CTO and CIO want to move their organizations into multi-cloud architectures to protect themselves from over-reliance on a single cloud provider and to avoid lock-in. A multi-cloud strategy avoids this and allows companies to take advantage of the unique or better performing capabilities of each cloud. "
One of the leading experts in data scientists, the professionals who know what to do with data, is Linda Burtch, Managing Director of Burtch Works, a recruiting executive company. Burtch will discuss his predictions for the analysis and amp; data science market in 2019 in a webinar tomorrow, January 17th, but here's a preview:
China is big but not California: US data scientists will continue to receive attractive offers from China and Chinese technology companies will be the hotter topic of conversation around the dining table and elsewhere. "Even your grandparents will know how to pronounce Huawei," says Burtch. With its inexpensive cost of living, California will lose data from scientists in other locations in the United States, in the newly established offices not only of digital natives like Google and Facebook and Amazon, but also of more traditional companies.
Unlike privacy, Python is a great tool for data businessPython will exceed R and SAS as the most popular tool in Data Science. But the GDPR (the European Data Privacy Regulation which came into force last year) could turn the EU into an "AI desert". Since what we today call "AI" is basically sophisticated statistical analysis that uses many and many data, the availability of many data due to a less restrictive (or non-existent) privacy regulation is also what makes China so hungry for data scientists and "artificial intelligence" leaders.
The effects of the wide gap between supply and demand of data scientists will continue to be felt: In addition to increasing competition for talents from China, more difficulties in obtaining special job visas for foreigners completing their studies in the United States will lead employers to invest more in "retraining" (internal training of their employees in data science) and in raising salaries of data researchers (who have been flat in recent years).
Burtch also goes on a branch, he says, predicting that in 2019 the MS in Analytics (or Data Science) will exceed the traditional MBA. Data is eating the world, a bit, a cloud, a salary, a degree at a time.
">
Pressed Data News, January 16, 2018
Data is eating the world. Here's what he's doing today:
Fractal Analytics has just announced that Apax Partners, a global private equity consulting firm, has agreed to acquire an important minority stake in the company for $ 200 million. Fractal Analytics was founded in 2000 by four Indian entrepreneurs and today has an annual turnover of $ 100 million and employs over 1,200 consultants in 15 locations, including the United States, United Kingdom and India.
One of the founders, Srikanth Velamakanni, who is today Chief Executive and Vice-Chairman of the Fractal Analytics Group, said in a statement: "We are making progress on our goal of building a $ 1 billion company in space revenue. AI, thanks to our unceasing focus on serving Fortune 500 companies globally to enable a digital transformation led by the AI in their operations. "
"AI" and "digital transformation" are the correct order words to use today to describe the current state of "data-driven decision making", the rapidly growing activity of making sense of ever-increasing archives of data collected by businesses in the last thirty years. Six years before Tom Davenport and Jeanne Harris realized "analytics" (in Competing on Analytics) the new new word of order to be captured what should be done with the data, the founders of Fractal Analytics saw the emerging market for data analysis, later described as "big data" and now as "AI".
Today, the data that is eating the world is stored not only in data centers or consumer phones, but also in the cloud. To avoid relying on a single cloud "location", companies use more clouds, often from different cloud providers.
To keep data available and consistent across multiple cloud environments in different geographies while taking advantage of the unique or better performing capabilities of each cloud, WANdisco has just announced the general availability of LiveData for MultiCloud. Based on a patented high performance blockchain technology, WANdisco claims it is the only platform that can continuously replicate petabyte data with zero loss or downtime in multiple cloud environments.
Companies want their data to eat the world all the time, all over the world, matching the right data with the right position and the right task. WANdisco CEO and co-founder David Richards said in a statement: "CTO and CIO want to move their organizations into multi-cloud architectures to protect themselves from over-reliance on a single cloud provider and to avoid lock-in. A multi-cloud strategy avoids this and allows companies to take advantage of the unique or better performing capabilities of each cloud. "
One of the leading experts in data scientists, the professionals who know what to do with data, is Linda Burtch, Managing Director of Burtch Works, a recruiting executive company. Burtch will discuss his predictions for the analytics and data science market in 2019 in a webinar tomorrow, January 17, but here's a preview:
China is big but not California: US data scientists will continue to receive attractive offers from China and Chinese technology companies will be the hotter topic of conversation around the dining table and elsewhere. "Even your grandparents will know how to pronounce Huawei," says Burtch. With its inexpensive cost of living, California will lose data from scientists in other locations in the United States, in the newly established offices not only of digital natives like Google and Facebook and Amazon, but also of more traditional companies.
Unlike privacy, Python is a great tool for data businessPython will exceed R and SAS as the most popular tool in Data Science. But the GDPR (the European Data Privacy Regulation which came into force last year) could turn the EU into an "AI desert". Given that today what we call "AI" is basically a sophisticated statistical analysis that uses a lot of data, the availability of data batches due to less restrictive (or non-existent) privacy regulations is also what makes China so hungry for data scientist and leader of "artificial intelligence".
The effects of the wide gap between supply and demand of data scientists will continue to be felt: In addition to increasing competition for talents from China, more difficulties in obtaining special job visas for foreigners completing their studies in the United States will lead employers to invest more in "retraining" (internal training of their employees in data science) and in raising salaries of data researchers (who have been flat in recent years).
Burtch also goes on a branch, he says, predicting that in 2019 the MS in Analytics (or Data Science) will exceed the traditional MBA. Data is eating the world, a bit, a cloud, a salary, a degree at a time.
