The core premise of data democratization is that every one of us can use, interpret, and work with data to make organizational decisions. Yet a recent survey found only 20 percent of business leaders consider themselves data literate and less than 25 percent feel proficient at working with data. Those are surprising numbers because these are people on the front lines of business using data to make decisions and drive future strategy.
Today?s big data analytics market is quite different from the industry of even a few years ago. The coming decade will see change, innovation, and disruption ripple through at every segment of this global industry.
Click to learn more about author Dan Kusnetzky. Big Data has been in the media constantly recently, but its definition and use still eludes some enterprise decision-makers. Their enterprises have invested heavily in Business Intelligence (BI) processes and applications and find themselves confused if what they have been doing will live happily under the new name [?]
March 1, 2018 ? DATAVERSITY Education, LLC today announced the start of Data Education Month, an annual celebration of all things in Data Management. Throughout the month of March, DATAVERSITY will be offering special discounts and free educational resources geared toward anyone working with data. Visit the Data Education Month homepage for details about how [?]
by Angela Guess According to a recent press release, ?Reltio, innovators of the Self-Learning Data Platform, today announced Reltio Cloud 2018.1, the newest version of the native cloud platform that organizes enterprise data for continuous self-learning. The release includes the next evolution of Reltio IQ (formerly Reltio Insights) which takes advantage of advanced analytics and [?]
The Database Management and Data Modeling landscapes have evolved significantly in the past few years, from the traditional relational model to now include non-relational models as well. The growth of Big Data and it?s unstructured and semi-structured data formats, along with trends in Cloud Computing, Artificial Intelligence, Data Lakes, Machine Learning, Blockchain and others pushing [?]
?The world is one Big Data problem.?-Andrew McAfee Big data might be known by several names or labels, but it?s undeniable that big data skills are turning into a big deal for IT professionals. The ?big data? wave has opened up lots of exciting opportunities for people skilled in open source big... Read more »
When February rolls around each year, every football fan knows what?s right around the corner ? it?s time for the Super Bowl! This game brings together the two best teams in the National Football League to compete for the title, with all 32 teams battling throughout the year to earn that top spot. Believe it or not, this same competition is very similar to the data center industry.
Big data is playing key role in the translation industry. The volume of global online business data doubles every 1.2 years, according to W.P. Carey School of Business. There will be 450 billion business transactions taking place per day by 2020, according to IDC projects. Approximately 2.7 zetabytes of data... Read more »
Statistical computing and graphing is an exciting field to work on. Companies around the world work on approx 2.5 Quintillion Bytes of data everyday which empathizes on the need of people with specialization in programming languages and deep analytical skills. Plethora of choices exists in the world of programming languages.... Read more »
In the on-going debate over whether Artificial Intelligence, and its allied technology Machine Learning, can completely replace the human brain, many scientists are still not convinced that machines can be trained to both ?think? and ?feel? like humans. AI research states that when smart algorithms are exposed to patterns that are joyful or positive, they [?]
For the last six years running, the most important event in cloud computing has been AWS re:Invent, where the market leader announces its latest improvements. This year, 44,000 people descended upon a very crowded set of Las Vegas venues spread across multiple hotels for breakout sessions, certification exams, a diverse expo floor, and the all-important keynotes where the newest offerings were announced.
Over the past six months I have reviewed five minimal Linux distributions that are optimized for running containers: Alpine Linux, CoreOS Container Linux, RancherOS, Red Hat Atomic Host, and VMware Photon OS. Generically known as ?container operating systems,? these stripped down, purpose built Linux distributions are not the only way to run containers in production, but they provide a base that does not waste resources on anything besides container support.
A few years ago, I was the CTO and cofounder of a startup in the medical practice management software space. One of the problems we were trying to solve was how medical office visit schedules can optimize everyone?s time. Too often, office visits are scheduled to optimize the physician?s time, and patients have to wait way too long in overcrowded waiting rooms in the company of people coughing contagious diseases out their lungs.
It is only when Data Analytics start meshing with advanced technologies like Machine Learning and Deep Learning that enterprises will reap the benefits of their analytics and Business Intelligence (BI) activities. Those technologies require well-planned Data Science principles built around business need. Such Data Science use cases are now mature enough that business owners, leaders, [?]
Google?s former HR chief, Jonathan Rosenberg recounts in his book How Google Works a story about CEO Larry Page?s response to an MBA employee?s PowerPoint product plan. Page told the MBA, ?Go sit with the engineers.?
Mention machine learning, and many common frameworks pop into mind, from ?old? stalwarts like Scikit-learn to juggernauts like Google?s TensorFlow. But the field is large and diverse, and useful innovations are bubbling up across the landscape.
The skills required by workers in the future will be very different to those of today, a new report predicts, as well as warning we need to ensure schoolkids of today learn the necessary skills for tomorrow.
The press release stated that, ?A new research report from Mercator Advisory Group titled Bringing AI into the Enterprise: A Machine Learning Primer provides an analysis of the impact machine learning will have on bank operations and payments and how it is already shifting consumer behavior. Consumers increasingly expect their smartphone will answer their questions, [?]
Machine Learning (ML) has transformed traditional computing by enabling machines to learn from data. Machine Learning algorithms have built-in smarts to use available data to answer questions. Apart from using data to learn, ML algorithms can also detect patterns to uncover anomalies and provide solutions. Insecurity environments, Machine Learning can move one step ahead of [?]