Cloudera

SEPTEMBER 10, 2021

The IRS has spent more than a decade working to combat high-cost hazards, including launching a collaborative Identity Theft Tax Refund Fraud Information Sharing and Analysis Center (ISAC) pilot for the 2017 tax-filing season, advancing authentication tools and taking proactive steps in fighting business identity theft.

Artificial Inteligence 66

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 66

O'Reilly Media - Ideas

MARCH 19, 2020

Reinforcement learning fell by 5% in 2019; it’s up hugely—1,500+%—since 2017, however. Aggregating artificial intelligence and machine learning topics accounts for nearly 5% of all usage activity on the platform, a touch less than, and growing 50% faster than, the well-established “data science” topic (see Figure 2).

Artificial Inteligence 117

Artificial Inteligence Trends Artificial Intelligence Machine Learning 117

d2iq

FEBRUARY 19, 2021

Except in many enterprises. There is a lot more to machine learning in the enterprise than just the model, which is what many people think of when they hear artificial intelligence. Before you can build a model, you need to ingest and verify data, after which you can extract features that power the model. AI is everywhere.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Private clouds are not simply existing data centers running virtualized, legacy workloads. They require highly modernized digital application and service environments running on true cloud platforms like Hitachi Enterprise Cloud.

Cloud 78

Cloud Google Cloud Azure AWS 78

O'Reilly Media - Data

SEPTEMBER 24, 2018

Getting DataOps right is crucial to your late-stage big data projects. At Strata 2017 , I premiered a new diagram to help teams understand why teams fail and when: Early on in projects, management and developers are responsible for the success of a project. Data science is the sexy thing companies want. They're right.

Enterprise 199

Enterprise Data Big Data Disaster Recovery 199

Hu's Place - HitachiVantara

JANUARY 3, 2019

” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Altexsoft

JULY 23, 2020

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Cloudera

MAY 27, 2021

“When developing ethical AI systems, the most important part is intent and diligence in evaluating models on an ongoing basis,” said Santiago Giraldo Anduaga, director of product marketing, data engineering and ML at Cloudera. Robert Oppenheimer expressed mixed feelings later in life about his role in developing the atomic bomb.

Artificial Inteligence 114

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 114

Apiumhub

AUGUST 12, 2021

He is a member of the US National Academy of Engineering, and an IEEE, ACM, and CHM fellow. He is the recipient of the 2018 NAE Charles Stark Draper Prize for Engineering and the 2017 IET Faraday Medal. Also, he serves as the Program Director for Data science/Data Engineering Educational Program at Skillbox.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

TechCrunch

APRIL 25, 2022

But they’re an essential part of the AI systems that enterprises — and consumers, for that matter — use every day. But at the enterprise scale, where data science teams are responsible for maintaining dozens to thousands of systems, a place to manage and track features becomes a necessity.

Artificial Inteligence 225

Artificial Inteligence Machine Learning Data Engineering Enterprise 225

Altexsoft

JUNE 6, 2019

In 2017, global eCommerce sales accounted for 10.2 Critics emphasize that cashless operations discriminate customers without bank accounts and may undermine privacy and data security. The Federal Deposit Insurance Corporation in their 2017 survey estimated that 6.5 percent of all retail sales (2.3 trillion US dollars).

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

Altexsoft

JUNE 11, 2021

Now, scale it to the enterprise level and just imagine how many processes comprise the daily workflow — and how many optimization opportunities there are IF you could break down and analyze every step of every process. In 2017, Veco reported on another success. However, in reality, it took 52 days.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

O'Reilly Media - Ideas

DECEMBER 6, 2018

In fact, in 2017 we featured a couple of talented teenagers (Kavya Kopparapu and Abu Qader) at our AI conferences. In a recent survey , we found strong awareness and concern over these issues on the part of data scientists and data engineers. The next generation of AI assistants in enterprise”.

Technology 80

Technology Artificial Inteligence Machine Learning Hardware 80

Existek

JANUARY 11, 2022

They quickly met the full range of enterprise needs starting from SaaS to PaaS and IaaS. Both small businesses and enterprises shift computing tasks to the cloud. Along with gathering and storing the data, they need efficient tools to analyze and visualize it. Development Operations Engineer $122 000. Business apps.

Azure 52

Azure AWS Cloud How To 52

TechCrunch

MAY 7, 2021

This is a result of fintechs being relatively new to the IPO scene compared to their consumer internet or enterprise software counterparts. Analytics as a service: Why more enterprises should consider outsourcing. Analytics as a service: Why more enterprises should consider outsourcing. billion by 2026.

Fintech 246

Fintech Windows Healthcare Analytics 246

O'Reilly Media - Ideas

JANUARY 25, 2024

Our data shows that most topics in software architecture and design are down year-over-year. While software architecture is down 3.9% (a relatively small decline), enterprise architecture is up 8.9%. Domain-driven design is particularly useful for understanding the behavior of complex enterprise systems; it’s down, but only 2.0%.

Trends 121

Trends Technical Review Technology Artificial Inteligence 121

DataRobot

APRIL 1, 2018

In Nick Heudecker’s session on Driving Analytics Success with Data Engineering , we learned about the rise of the data engineer role – a jack-of-all-trades data maverick who resides either in the line of business or IT. 3) The emergence of a new enterprise information management platform.

Analytics 40

Analytics Artificial Inteligence Data Machine Learning 40

O'Reilly Media - Ideas

JUNE 19, 2019

An overview from a 2017 paper from Google lets us gauge how much tooling is still needed for model operations and testing. Machine learning engineers , data engineers, developers, and domain experts are critical to the success of ML projects. Demand for tools for managing ML in the enterprise.

Government 81

Government Artificial Inteligence Machine Learning Testing 81

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. 1 again in proposals this year.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Hu's Place - HitachiVantara

MARCH 18, 2019

Istanbul’s strategic location and intellectual resources was the reasons for Hitachi Health care to establish a Regional Center for Healthcare in Istanbul in 2017. Pentaho unlocked mapR to enable data science and enabled business users to operationalize data through self-service.

Healthcare 61

Healthcare Tourism Systems Review Energy 61

Cloudera

OCTOBER 26, 2017

Check out Greg Rahn’s session, “ Rethinking data marts in the cloud: Common architectural patterns for analytics ” at the Strata Data Conference in Singapore, December 4-7, 2017, to learn how to architect analytic workloads in the cloud and the core elements of data governance. Let’s discuss each in more detail.

Cloud 43

Cloud Data Storage Analytics 43

TIBCO - Connected Intelligence

SEPTEMBER 12, 2019

. $3 Trillion Per Year pointed out how bad data caused huge annual costs across the U.S., citing, “The reason bad data costs so much is that decision makers, managers, knowledge workers, data scientists, and others must accommodate it in their everyday work. In their 2017 HBR article “ What’s Your Data Strategy ?,”

Data 5

Data Software Review Analytics Virtualization 5

DataRobot

OCTOBER 3, 2017

Enterprise data architects, data engineers, and business leaders from around the globe gathered in New York last week for the 3-day Strata Data Conference , which featured new technologies, innovations, and many collaborative ideas. Try now for free.

Trends 52

Trends Azure Conference Media 52

Hu's Place - HitachiVantara

JANUARY 15, 2019

For lack of similar capabilities, some of our competitors began implying that we would no longer be focused on the innovative data infrastructure, storage and compute solutions that were the hallmark of Hitachi Data Systems.

Systems Review 72

Systems Review Storage System Software Review 72

Datavail

SEPTEMBER 8, 2022

According to Statista , in 2021 companies used an average of 110 software as a service (SaaS) applications in their IT environment, which is a sevenfold increase from just 16 applications in 2017. What’s more, 20 percent of these companies are using 1,000 or more sources, far too many to be properly managed by human data engineers.

Data 40

Data Nonprofit Quality Assurance Education 40

O'Reilly Media - Ideas

JANUARY 25, 2021

Adding usage and search query data for Spring (up 7%) reverses Java’s apparent decline (net-zero growth). Zero growth isn’t inappropriate for an established enterprise language, particularly one owned by a company that has mired the language in controversy. Second, Docker and Kubernetes have changed the configuration game.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145