O'Reilly Media - Ideas

FEBRUARY 20, 2019

That was the third of three industry surveys conducted in 2018 to probe trends in artificial intelligence (AI), big data, and cloud adoption. The other two surveys were The State of Machine Learning Adoption in the Enterprise , released in July 2018, and Evolving Data Infrastructure , released in January 2019.

Survey 111

Survey Artificial Inteligence Technical Review Artificial Intelligence 111

Linux Academy

MARCH 7, 2019

2+ in Google Cloud. 1+ in Big Data. Can’t forget all of the new hands-on training content we launched in January 2019 , plus everything we launched in 2018 ! Announcing: Cloud Playground. New and Updated Courses. 6+ in Containers. 4+ in Security. 5+ in AWS. 4+ in Azure. 12+ in Linux. 9+ in DevOps.

Training 60

Training Enterprise Linux Google Cloud 60

Confluent

MAY 22, 2019

The explosive number of devices generating, tracking and sharing data across a variety of networks is overwhelming to most data management solutions. With more than 25 billion connected devices in 2018 and internet penetration increasing at a staggering 1,066% since 2000, the opportunity in the IoT market is significant.

IoT 98

IoT Google Cloud Scalability Microservices 98

Crunchbase News

SEPTEMBER 13, 2024

She previously led AI at Google Cloud and is a co-director of the Stanford Institute for Human-Centered Artificial Intelligence. The company’s platform creates candidate-ready compounds by utilizing a “combination of human understanding, generative biology, chemistry, machine learning and proprietary big data infrastructure.”

Biotech 75

Biotech Artificial Inteligence Artificial Intelligence Healthcare 75

Datavail

JULY 31, 2019

Big data software companies that used to run their applications on Hadoop are now switching to Kubernetes. What’s behind the recent move from Hadoop to Kubernetes, and where is the big data landscape going in the future? Platforms like Hadoop were created during and for a different era in big data.

Development 8

Development Big Data Open Source Google Cloud 8

ParkMyCloud

FEBRUARY 20, 2020

Note: a version of this blog was originally published in July 2018. The a1 instance type was announced in late 2018 and can be a less expensive option than other EC2. They are suited for scale-out workloads such as web servers, containerized microservices , caching fleets, distributed data stores, and development environments.

Comparison 71

Comparison How To AWS Artificial Inteligence 71

Datavail

SEPTEMBER 17, 2019

More recently, in November 2018, Microsoft Azure announced MongoDB Atlas free tier would be available in limited regions. While there are a large number of options within the realm of NoSQL databases for big data, MongoDB has the majority market share. percent growth in shares in 2018. Is MongoDB a Better Choice?

Cloud 40

Cloud Azure Big Data Storage 40

O'Reilly Media - Ideas

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers). IBM Watson NLU.

System 111

System Off-The-Shelf Artificial Inteligence Machine Learning 111

RapidValue

JULY 31, 2019

According to a recent report , the market could grow from $4.25bn in 2018 to $14.93bn in 2023. The likes of Netflix , for example, already rely on the serverless code and most of the cloud providers like AWS Lambda, Azure, and Google Cloud Functions, are investing heavily in it.

Serverless 47

Serverless Architecture Cloud Development 47

Aviatrix

SEPTEMBER 28, 2018

That’s been the case in computing, with former industry leaders IBM, HP, Sun, and DEC now replaced by public cloud vendors such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. It’s all about moving data, which has gravity and—especially with big data—real heft. Then, when VMware paid $1.26

Cloud 49

Cloud Innovation Software Data Center 49

Altexsoft

APRIL 23, 2021

This data is an inevitable part of a cohesive ecosystem known as the Internet of Medical Things (IoMT). We’ve already addressed the subject of IoMT in our article devoted to the role of Big Data in healthcare. billion worth by 2022, according to the 2018 report by Deloitte. Let’s get started.

Healthcare 64

Healthcare Internet IoT Systems Review 64

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

DECEMBER 15, 2021

Google Vertex AI: a unified interface for the entire MLOps cycle. Google entered the automated machine learning area in 2018. The technology supports tabular, image, text, and video data, and also comes with an easy-to-use drag-and-drop tool to engage people without ML expertise. Source: Google Cloud Blog.

Artificial Inteligence 59

Artificial Inteligence Machine Learning How To Open Source 59

Cloudera

DECEMBER 12, 2018

It kind of was interesting to me that there were these big internet companies in the valley running this platform or a variation thereof of, based on Google research papers. Let’s talk about big data and Apache Impala. Conversely, on a big data platform, it’s very easy to land data no matter what.

Marketing 42

Marketing Data Storage Big Data 42

Agile Engine

FEBRUARY 20, 2019

2018 was the second consecutive year when Gartner published an obituary of Big Data. No one, including Gartner, thinks Big Data is dead. Au contraire, Big Data has grown so ubiquitous it became “just data”, argue the authors of the obituaries. Trend 1: From Big Data to “Just Data”.

Big Data 71

Big Data Data Google Cloud Azure 71