Technology today is evolving at such a rapid pace, enabling faster change and progress, causing an acceleration of the rate of change, until eventually it will become exponential. However, it is not only technology trends and top technologies that are evolving, a lot more has changed this year due to the outbreak of COVID-19 making IT professionals realize that their role will not stay the same in the contactless world tomorrow. And an IT professional in 2020-21 will constantly be learning, unlearning and relearning (out of necessity if not desire). What does this mean for you? It means staying current with new technology trends.
Google on Monday said that it's partnering with Siemens to advance AI deployments in industrial use cases. More specifically, Siemens is integrating Google Cloud data analytics and AI capabilities into its Digital Industries Factory Automation portfolio. The integration gives Google a major partner in the manufacturing space, one of six key verticals the cloud company is targeting. The integration, the companies said, should make it easier for manufacturers to manage factory data, run cloud-based AI and machine learning models on top of it, and deploy algorithms at the network edge. Over the next few months, the companies will have share more about the specific Google Cloud tools that will be integrated into the Siemens portfolio and offered as a joint solution, a Google spokesperson told ZDNet.
According to IDG's 2020 Cloud Computing Study, 92% of organizations have at least some sort of cloud footprint in regard to their IT environment. Therefore, traditional cloud security approaches must evolve to keep up with the dynamic infrastructure and challenges that cloud environments present – most notably, the inundation of data insights generated within the cloud. More than one-third of IT security managers and security analysts ignore threat alerts when the queue is full. This is a common issue that is driving the high demand for machine learning-based analytics, as it helps security teams sift through massive amounts of data to prioritize risks and vulnerabilities and make more informed decisions. However, a word of caution when using machine learning-based technology: the age-old garbage-in, garbage-out applies to security-focused machine learning engines.
To say Kubernetes, everyone's top container orchestration pick, is hard to master is an understatement. Kubernetes doesn't have so much as a learning curve as it does a learning cliff. But, Canonical's MicroK8s lets you learn to climb it in your home. And, with its latest release, it's easier than ever to set up a baby Kubernetes cluster using inexpensive Raspberry Pi or NVIDIA Jetson single-board computers (SBC). MicroK8s is a tiny Kubernetes cluster platform.
The term Artificial Intelligence (AI) was used for the first time by John McCarthy during a workshop in 1956 at Dartmouth College. The first AI application programs for playing checker and chess were developed in 1951. After the '50s, AI was on the rise and fall until the 2010s. Over the years, there have been some investments in AI by vendors, universities, institutions. Sometimes, hopes were high and sometimes hopes were low.
Earlier this week, Microsoft announced its intent to acquire Nuance for $19.7 billion in its second-largest acquisition after LinkedIn. For the past 15 years, Nuance has been the largest independent speech recognition vendor servicing healthcare and enterprise customer service markets. With this acquisition, Microsoft gets serious healthcare chops, an arsenal of conversational AI assets (including voice biometrics), digital customer service technologies, and other assets like vehicle telematics and dictation. For companies using Microsoft and/or Nuance, this acquisition will provide them with more depth and breadth in the healthcare provider space, enterprise customer care, and enterprise cloud services. Microsoft is making a $19.7 billion bet on ambient digital healthcare How and why tech's big players are poised to give the industry its biggest shakeup in decades.
Here's a look at how the cloud leaders stack up, the hybrid market, and the SaaS players that run your company as well as their latest strategic moves. IBM said it will acquire process mining company myInvenio as it aims to automate more business processes. Terms of the deal weren't disclosed. IBM and myInvenio, based in Reggio Emilia, Italy, launched a partnership in November. According to IBM, myInvenio can use its platform to find the best business processes to automate with AI.
Informatica on Tuesday is officially unveiling its intelligent data management cloud (IDMC), an AI-powered platform designed to serve a broad base of users working with data in multi-cloud environments. Along with that, the company is announcing a series of partnerships and integrations with Microsoft Azure, Amazon Web Services and Google Cloud Platform. Informatica has been in the business of data management tools for more than 20 years, and in that span of time, data has become increasingly valuable, Informatica Chief Product Officer Jitesh Ghai told ZDNet. "We recognize our community of data-led practitioners has grown well beyond technical ETL experts, well beyond data engineers and data scientists," he said. Now, it includes "non-technical users who want to operate with facts. Gut-based decision making has been laid bare as insufficient moving forward."
CEO of Align, Effortlessly turn your site into an advisor marketplace that generates revenue for experts and you. Every year, technology advancements continue to change business as we know it. The rate at which new devices, software and digital business methods are introduced continues to speed up into new frontiers. In addition, societal changes due to health, politics, geography and more have contributed to rethinking how business leadership has to perform today as opposed to just ten years ago. You don't have to be an IT expert to realize the organizational possibilities of these opportunities, either.
Intel on Tuesday officially launched "Ice Lake," its new 3rd Gen Xeon Scalable processor. The 10 nanometer-based CPU, delivering up to 40 cores per processor, is the foundation for Intel's data center platform. The chip is designed for workloads spanning a range of markets, from the cloud to the network and the edge. Intel says every "top tier" cloud service provider will be offering services based on Ice Lake. It's launching the chip with more than 50 OEMs building more than 250 servers based on the platform.