Innovation

Big Data

Cloud system misconfiguration is happening due to speed at which we are building and harnessing cloud itself - commercial & public organizations are grasping the flexible advantages of cloud at a speed that outpaces their approach to securing the services they themselves are adopting.

Chief executive Mark Zuckerberg said the company had to cut 13% of its workforce as part of plans “to become a leaner and more efficient company.”

Data science efforts routinely fail to solve critical problems and deliver value to stakeholders at scale. Research finds there are 4 common pitfalls organizations fall into that hinder them from realizing the full potential of their data science efforts.

HDDs capacity and unit shipments were down about 37% and about 14% respectively in C3Q 2022, Q2Q. Memory, was down 27% in capacity shipments over the same period. Several factors are responsible for the drop in storage demand, including slower demand for storage at the major data centers.

Robot retirement is happening across all sectors. It is happening at a faster pace where there is growing investment in digital transformation. So what does it tell us about the state of RPA?

We have become accustomed to dashboards and data reports in our modern, data-driven businesses. However, the question is whether there are better ways to connect people with the insights they need.

Soda (the drink) is so named because sodium salts within the water are used to reduce the liquid’s acidity and enable carbonation to happen more effectively. Perhaps the marketing team at Soda wants to tell us it reduces data acidity & improves its ability to fizz and bubble up towards useful apps.

The use of data and analytics at Colgate-Palmolive is grounded on the principle that investments in data and analytics must deliver measurable business value.

Just as casual web users have good and bad website, application and IT service experiences, software application developers and data science professionals have good and bad experiences with the tools they use to make our technology happen.

Data has become one of today's most important business assets, and data science enables us to turn this data into value. In the field, we see fast evolutions and new advances, especially in artificial intelligence and machine learning. Here, we look at the five biggest data science trends for 2023.

A data-centric approach to help manage the data tsunami.

Software coding is fun. Ask any developer why they are compelled to a life of programming and they’ll all confirm this truth. Software application development professionals, hobbyists, students and even casual coders do it because it’s essentially very enjoyable.

This scenario actually already exists via projects like API gateway authentication, which is full of authoritative content.

Modern business is now increasingly running on data streaming technologies designed to channel a flood (in a positive sense) of real time data into and out of applications, across analytics engines and through database structures.

Fragmentation kills software. Cracks can appear in established blocks of enterprise software, whole applications or entire software suites. Equally, fissures and disconnects occur in smaller software components or services. When fragmentation occurs, pipes leak.

Economists are increasingly called upon to provide information and analysis around rare events. The questions are less about how big the economic effects will be, and more about what the nature of the shock will be. New methods like open-source intelligence and big data are needed.

Partly because of its impact upon human workflows as we move to cloud-first software deployment, but also due to the maelstrom of white noise emanating from enterprise technology vendors at every level — all of whom want to tell us about their 'solutions' and their ability to deliver insight and ...

How do you best handle starting or changing your career? By building and using your network, you too can continue to move up the ladder. Read my recommendations and experience to learn more!

Samsung announced advanced developments DRAM and V-NAND at its Tech Day Meetings with plans for sub-nm DRAM and 1,000-layer V-NAND by 2030. It has plans for expanded memory use in automotive, consumer and data center applications.

Guo’s Conviction Capital will early stage “AI-native” companies, she says.