O'Reilly Media - Data

APRIL 3, 2018

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. Data Platforms sessions. Privacy and security.

Machine Learning 155

Machine Learning Artificial Inteligence Company Case Study 155

Cloudera

APRIL 9, 2021

The second blog dealt with creating and managing Data Enrichment pipelines. The third video in the series highlighted Reporting and Data Visualization. And this blog will focus on Predictive Analytics. Data Collection – streaming data. Data Enrichment – data engineering. The ML Solution.

Machine Learning 98

Machine Learning Artificial Inteligence Data Data Engineering 98

CIO

JUNE 23, 2023

Not only should the data strategy be cognizant of what’s in the IT and business strategies, it should also be embedded within those strategies as well, helping them unlock even more business value for the organization.

Strategy 290

Strategy Technical Review Data Software Review 290

Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. MLOps lies at the confluence of ML, data engineering, and DevOps. More time for development of new models.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

The Crazy Programmer

NOVEMBER 6, 2021

IT or Information technology is the industry that has registered continuous growth. It was in a better situation even in the COVID-19 situation than other industries. However, the ever-growing IT industry has encouraged the young generation and current professionals to find their ideal career opportunities. Big Data Engineer.

Artificial Inteligence 290

Artificial Inteligence Artificial Intelligence Blockchain Software Review 290

O'Reilly Media - Data

JULY 18, 2018

In this short talk, I describe some interesting trends in how data is valued, collected, and shared. Economic value of data. It’s no secret that companies place a lot of value on data and the data pipelines that produce key features. But if data is precious, how do we go about estimating its value?

Machine Learning 137

Machine Learning Artificial Inteligence Data Marketing 137

CIO

DECEMBER 11, 2023

Any and all activities that focus on improving patient data, processes and communications are prime for improvement. With generative AI-based analytics and large language models, healthcare professionals will have a greater capacity to make tailored recommendations for preventative screenings and services. Artificial Intelligence

Generative AI 189

Generative AI Artificial Inteligence Healthcare Artificial Intelligence 189

TechCrunch

APRIL 12, 2022

While companies find AI’s predictive power alluring, particularly on the data analytics side of the organization, achieving meaningful results with AI often proves to be a challenge. That’s where Flyte comes in — a platform for programming and processing concurrent AI and data analytics workflows.

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

TechCrunch

MAY 10, 2022

Data science teams are stymied by disorganization at their companies, impacting efforts to deploy timely AI and analytics projects. In a recent survey of “data executives” at U.S.-based ” The market for synthetic data is bigger than you think.

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

TIBCO - Connected Intelligence

MARCH 4, 2021

This makes the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms an important resource for today’s data science-driven organizations that must invest in this critical technology. Encourages Collaboration: Today, analytics + data science is a team sport spanning business and IT.

Machine Learning 72

Machine Learning Artificial Inteligence Software Analytics 72

CIO

SEPTEMBER 2, 2022

“Companies are struggling to hire true data scientists,” says Brandon Purcell, vice president and principal analyst at Forrester, a Cambridge, Mass.-based based industry analyst firm. Data scientists have the alchemy to turn data into insights. Gartner reported that a data scientist in Washington, D.C.,

Data 246

Data Machine Learning Artificial Inteligence Training 246

CIO

SEPTEMBER 1, 2022

“Companies are struggling to hire true data scientists,” says Brandon Purcell, vice president and principal analyst at Forrester, a Cambridge, Mass.-based based industry analyst firm. Data scientists have the alchemy to turn data into insights. Gartner reported that a data scientist in Washington, D.C.,

Data 246

Data Machine Learning Artificial Inteligence Training 246

CIO

JULY 10, 2023

For a decade, Edmunds, an online resource for automotive inventory and information, has been struggling to consolidate its data infrastructure. Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core.

Infrastructure 246

Infrastructure Artificial Inteligence Data Generative AI 246

CIO

OCTOBER 1, 2022

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs. Data and AI as digital fundamentals.

Artificial Inteligence 363

Artificial Inteligence Azure IoT Analytics 363

Mobilunity

AUGUST 3, 2021

Although the Big Data concept itself is relatively new, the origins of huge data sets go back to the 1970s when the world of data was just getting started with the development of the relational database. Today, however, it is used all over the world in countless industries and sectors. Who is Big Data Engineer?

Big Data 52

Big Data Data Engineering Engineering Data 52

Altexsoft

MAY 27, 2020

Machine learning (ML) history can be traced back to the 1950s, when the first neural networks and ML algorithms appeared. Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements.

Machine Learning 89

Machine Learning Artificial Inteligence Architecture Training 89

CIO

JULY 18, 2023

CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. S&P Global, for example, is entering its AI 2.0

Technical Advisors 246

Technical Advisors Artificial Inteligence Generative AI How To 246

TechCrunch

MAY 18, 2022

“Coming from engineering and machine learning backgrounds, [Heartex’s founding team] knew what value machine learning and AI can bring to the organization,” Malyuk told TechCrunch via email. “As we’ve built a truly horizontal solution, our customers come from a variety of industries.

Open Source 203

Open Source Weak Development Team Artificial Inteligence Data 203

Trigent

NOVEMBER 3, 2022

Logistics has been one of those industries where digitalization has been long overdue, although the linchpin holds several value chains together. Thankfully, it’s now a game for new technologies and leveraging structured and unstructured data like no other. There lies the importance of data analytics.

Analytics 52

Analytics Data IoT Trends 52

Datavail

MARCH 31, 2022

Digital analytics offer enterprises an almost limitless array of values because they are as malleable as each business needs them to be. Further, these analytical capacities continue to evolve as more companies develop proprietary analytics to meet their specific sector demands. Analytics as a Strategy Tool.

Business Analytics 52

Business Analytics Analytics Artificial Inteligence Strategy 52

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). And there’s a labor shortage in those industries so [the focus is on] more automation and more AI.” It’s all about uptime and input.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

CIO

APRIL 3, 2023

Digital solutions and data analytics are changing the world of sports entertainment at a rapid clip. From how players train, to how teams make strategic decisions during games, to how venues operate and fans engage, sports organizations are turning to software engineers and data scientists to help transform the sport experience.

Sport 241

Sport Artificial Inteligence Coaching Games 241

CTOvision

FEBRUARY 20, 2015

Big Data Analytics company Qurius now also offers professional services as Deep 6 Analytics. Experienced Data Scientists / Strategists / Exorcists). Qurius builds cutting edge analytics solutions to analyze massive amounts of unstructured data for Government and Industry. For more see [link].

Big Data 112

Big Data Analytics Data Company 112

Apiumhub

FEBRUARY 6, 2023

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics. Feel free to check out the whole list of speakers here.

Innovation 83

Innovation Data Machine Learning Artificial Inteligence 83

Harvard Business Review

MAY 10, 2024

Researchers engaged with organizations across a variety of industries, each at a different stage of implementing responsible AI.

How To 110

How To Data Engineering Research Engineering 110

TechCrunch

OCTOBER 7, 2021

Increasingly, conversations about big data, machine learning and artificial intelligence are going hand-in-hand with conversations about privacy and data protection. “But now we are running into the bottleneck of the data. But humans are not meant to be mined.”

Artificial Inteligence 246

Artificial Inteligence Technical Review Engineering Data 246

Agile Engine

SEPTEMBER 29, 2023

Few people know this, but enterprises often employ a machine learning technique that’s instrumental in particle physics experiments at the Large Hadron Collider. Just as the Large Hadron Collider accelerates subatomic particles, machine learning solutions set trillions of data points in motion to solve complex business challenges.

Video 52

Video Machine Learning Artificial Inteligence Automotive 52

CIO

JANUARY 10, 2023

Hiring tech talent in 2023 means navigating an uncertain economy, the effects of widespread tech industry layoffs, and candidates who want to work for a company with a mission and workplace culture that align with their values, including diversity, equity, and inclusion. Michelle Skoor, chief workforce officer at Bitwise Industries, agrees.

Trends 328

Trends Recruiting Culture Quality Assurance 328

O'Reilly Media - Ideas

JANUARY 8, 2019

In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. The demand for data skills (“the sexiest job of the 21st century”) hasn’t dissipated. Continuing investments in (emerging) data technologies.

Trends 89

Trends Data Machine Learning Artificial Inteligence 89

Apiumhub

JUNE 22, 2021

We are super excited to participate in the biggest and the most influential Data, AI and Advanced Analytics event in the Nordics! Data Innovation Summit ! There our Gema Parreño – Data Science expert at Apiumhub gives a talk about Alignment of Language Agents for serious video games.

Innovation 84

Innovation Data Technical Review Artificial Inteligence 84

CTOvision

MAY 1, 2014

We are developing innovative software in big data analytics, predictive modeling, simulation, machine learning and automation. This is a green-fields development position for a passionate and experienced engineer. A strong emphasis on data validation, testing, getting it right and knowing it stays right.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. But with vastly different architectural worldviews. Iterations of the lakehouse.

Data 93

Data Analytics Open Source Architecture 93

Hacker Earth Developers Blog

JUNE 26, 2019

Data science is an interdisciplinary field that uses a blend of data inference and algorithm development to solve complex analytical problems. An ideal candidate has skills in the 3 fields: mathematics/ statistics/ machine learning/ programming and business/ domain knowledge. . Machine Learning and Programming.

Data 200

Data How To Recruiting Machine Learning 200