Big Data and Analytics News & Reviews - Page 43
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The IT consumer experience is becoming a big, "friendly" business. You will "friend" companies online and talk to them as though they are your personal acquaintences.
Microsoft's big data customers can now use Apache Kafka to help power their IoT applications and other workloads that involve massive data streams.
In addition to the technical attributes of a photo, Google's Neural Image Assessment model can predict if humans will likely find an image aesthetically pleasing.
Amazon's AWS Lambda is the biggest and best-known example of serverless computing, whose days ahead are enticing to more than a few IT managers.
As the internet gets increasingly more fragile, automation--as it is in most other IT categories--becomes a big factor in making it run more efficiently. Cisco Systems will be deploying its new intent-based networking (IBN) approach.
The most important big data trend in 2018 will involve greater integration with artificial intelligence (AI), data science and machine learning, but metadata management and global data fabrics will also play a key role.
Experts believe we might see things like machine-learning-assisted storage and de-archiving becoming commonplace during the coming calendar year.
The same machine learning technology powering many of Google's apps and services finds a new use helping astrophysicists find new planets orbiting distant stars.
Enterprises are beginning to realize that cloud, artificial intelligence and DevOps are not a threat to security, but are in fact the best way to reduce risk. DevSecOps will become a hot new "thing."
Heap automatically captures, validates and connects all types of customer data, giving companies in various sectors the ability to discover meaningful customer insights in order to drive better business decisions.
Chris Preimesberger | Updated
This is one of the most fun and interesting #eWEEKchats of the year, offering an opportunity to predict the IT future for 2018.
DT may be a cliche, but there's no getting around the fact that the term is very relevant. Enterprises are indeed rethinking and re-tooling their IT systems, because they have to do so.