TechCrunch

APRIL 13, 2021

Meroxa , a startup that makes it easier for businesses to build the data pipelines to power both their analytics and operational workflows, today announced that it has raised a $15 million Series A funding round led by Drive Capital. million seed round now brings total funding in the company to $19.2

Data 248

Data Software Engineering Open Source Engineering 248

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. Data engineer. Business systems analyst.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

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. Data engineer. Business systems analyst.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

TechCrunch

AUGUST 8, 2022

Equalum can collect, transform, and synchronize data, moving data in real time or in batches from devices and apps to AI systems, data lakes and data warehouses. Army and led the product management team at Quest Software (which was acquired by Dell in 2012). He also co-founded S.E.T.

Company 191

Company Data Cloud Google Cloud 191

CIO

APRIL 27, 2023

For technologists with the right skills and expertise, the demand for talent remains and businesses continue to invest in technical skills such as data analytics, security, and cloud. The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management.

Technical Review 174

Technical Review Software Review Systems Review Software Engineering 174

TechCrunch

JUNE 17, 2021

The big breakthrough that Transform has made is that it’s built a metrics engine that a company can apply to its structured data — a tool similar to what Big Tech companies have built for their own use, but that hasn’t really been created (at least until now) for others who are not those Big Tech companies to use, too.

Metrics 247

Metrics Tools Data Big Data 247

TechCrunch

SEPTEMBER 13, 2022

Li met his co-founder while both of them were working in data engineering roles at digital insights company Heap Analytics. ” While Li saw what he described as staggering volumes on the platform, he noticed that the main bottleneck for further growth was not actually around the engineering process.

Company 185

Company Data Infrastructure Product Management 185

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 and low-code data engineering platform Prophecy (not to mention SageMaker and Vertex AI ). healthcare company.”

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

AWS Machine Learning - AI

NOVEMBER 20, 2024

She has experience across analytics, big data, ETL, cloud operations, and cloud infrastructure management. Data Engineer at Amazon Ads. He builds and manages data-driven solutions for recommendation systems, working together with a diverse and talented team of scientists, engineers, and product managers.

Data 108

Data AWS Groups Knowledge Base 108

Netflix Tech

DECEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and and what the role entails by Alex Diamond This Q&A aims to mythbust some common misconceptions about succeeding in analytics at a big tech company. Within a few months I’d picked up BI tools, predictive modeling, and data ingestion/ETL.

Analytics 55

Analytics Engineering Business Intelligence Data 55

Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. Feel free to enjoy it. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

CTOvision

JANUARY 28, 2015

Strata + Hadoop World attracts the best minds in data: developers, data scientists, data analysts, and other data professionals, including: VPs or directors of marketing, analytics, or data warehousing. Data scientists. Data engineers. Product managers.

Big Data 109

Big Data Case Study Conference Study 109

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. We have seen the market open for some of our more difficult-to-fill cloud and product management roles,” says Lobo of Ensono.

Technical Advisors 148

Technical Advisors Artificial Inteligence Generative AI How To 148

Cloudera

NOVEMBER 28, 2023

With its rise in popularity generative AI has emerged as a top CEO priority, and the importance of performant, seamless, and secure data management and analytics solutions to power those AI applications is essential. This means you can expect simpler data management and drastically improved productivity for your business users.

Data 84

Data Scalability Analytics Quality Assurance 84

CIO

JANUARY 10, 2023

There is also a newfound trend in hiring product managers with a track record of turning innovation into revenue.” Even among hiring slow-downs and freezes, CIOs need to fill certain roles to meet 2023 objectives, Mok says, like cybersecurity, cloud platforms, analytics/business intelligence/data science, and project management.

Trends 197

Trends Recruiting Culture Quality Assurance 197

Altexsoft

JUNE 29, 2021

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Apiumhub

SEPTEMBER 20, 2023

Tech Conferences Compass Tech Summit – October 5-6 Compass Tech Summit is a remarkable 5-in-1 tech conference, encompassing topics such as engineering leadership, AI, product management, UX, and data engineering that will take place on October 5-6 at the Hungarian Railway Museum in Budapest, Hungary.

Conference 98

Conference Artificial Inteligence UI/UX Machine Learning 98

CIO

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. What were the challenges of putting the layer cake together?

Data 147

Data Architecture Government Strategy 147

O'Reilly Media - Ideas

JUNE 4, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Thinking Like a Manager , July 10. Data science and data tools.

Course 93

Course Training Artificial Inteligence Software Review 93

Cloudera

DECEMBER 14, 2020

We’ve seen organizations invest in big data solutions, and now, we’ve increasingly seen them want to build on that investment and move towards building a modern architecture that’ll help them leverage stream processing and streaming analytics. Cloudera Data Platform (CDP) is the new data cloud built for the enterprise.

Analytics 71

Analytics Big Data Government Cloud 71

Netflix Tech

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Artificial Inteligence 86

Artificial Inteligence Machine Learning Culture Engineering 86

CTOvision

FEBRUARY 23, 2017

This is the place to dive deep into the latest on Big Data, Analytics, Artificial Intelligence, IoT, and the massive cybersecurity issues in all those topics. Data scientists. Data engineers. Product managers. Data-driven designers, journalists, and anthropologists. Researchers and academics.

Big Data 61

Big Data Case Study Artificial Inteligence Artificial Intelligence 61

AWS Machine Learning - AI

SEPTEMBER 3, 2024

This allows SageMaker Studio users to perform petabyte-scale interactive data preparation, exploration, and machine learning (ML) directly within their familiar Studio notebooks, without the need to manage the underlying compute infrastructure. Kunal Jha is a Senior Product Manager at AWS.

Serverless 108

Serverless AWS Artificial Inteligence Big Data 108

Altexsoft

SEPTEMBER 23, 2019

There’s a large variety of analytical activities when we’re talking about software development. When the product is being developed, a BA gets feedback from stakeholders and ensures product improvements according to the obtained data. Analytical thinker. A QA engineer also participates but to a lesser extent.

Weak Development Team 62

Weak Development Team Software Development Project Management Research 62

O'Reilly Media - Ideas

MARCH 6, 2019

Artificial Intelligence for Big Data , April 15-16. AI for Product Managers , April 19. Managing Team Conflict , April 16. Product Management for Enterprise Software , April 17. Thinking Like a Manager , May 10. Introduction to Time Management Skills , May 10. Data science and data tools.

Course 15

Course Artificial Inteligence Training Machine Learning 15

O'Reilly Media - Ideas

JUNE 5, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Thinking Like a Manager , July 10. Data science and data tools.

Course 65

Course Training Artificial Inteligence Software Review 65

Netflix Tech

JANUARY 11, 2022

Experimentation and causal inference is one of the primary focus areas within Netflix’s Data Science and Engineering organization. Curious to learn more about other Data Science and Engineering functions at Netflix? Curious to learn about what it’s like to be a Data Engineer at Netflix?

Data 98

Data Metrics Testing Analysis 98

O'Reilly Media - Ideas

MAY 1, 2019

Real-Time Streaming Analytics and Algorithms for AI Applications , May 15. AI for Product Managers , June 11. Introduction to Employee Performance Management , June 10. 60 minutes to Better User Stories and Backlog Management , June 13. Product Management in 90 Minutes , June 14. Programming.

Course 58

Course Training Artificial Inteligence Machine Learning 58

Netflix Tech

NOVEMBER 20, 2023

These challenges are currently addressed in suboptimal and less cost efficient ways by individual local teams to fulfill the needs, such as Lookback: This is a generic and simple approach that data engineers use to solve the data accuracy problem. Users configure the workflow to read the data in a window (e.g.

Windows 87

Windows Software Review Data Engineering 87

Altexsoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Artificial Inteligence 52

Artificial Inteligence Machine Learning Data Systems Review 52

Mobilunity

NOVEMBER 11, 2024

During the entire process, experts cooperate across different teams, including data scientists, product managers, and stakeholders to keep everyone on the same page. Analytical thinking. LLM product manager. These are watchers of the development and launch of LLM-empowered products.

Artificial Inteligence 52

Artificial Inteligence Handbook Engineering Technical Review 52

StubHub

AUGUST 8, 2019

Rudra Gandhi, Data Engineering intern, (San Jose State University, Mathematics and Computer Science Major): As a company, I thought that StubHub is an interactive platform for its audiences and accepts feedback very nicely. The second project I am working on is for the marketing analytics team.

Technical Review 8

Technical Review Software Review Software Engineering Sport 8

Openxcell

DECEMBER 27, 2024

In addition to AI consulting, the company has expertise in delivering a wide range of AI development services , such as Generative AI services, Custom LLM development , AI App Development, Data Engineering, RAG As A Service , GPT Integration, and more. Founded: 2009 Location: London, UK Employees: 251-500 8.

Artificial Inteligence 40

Artificial Inteligence Company Generative AI Machine Learning 40

Mobilunity

DECEMBER 9, 2024

Google Professional Machine Learning Engineer implies developers knowledge of design, building, and deployment of ML models using Google Cloud tools. It includes subjects like data engineering, model optimization, and deployment in real-world conditions. AI product manager. Data engineer.

Engineering 52

Engineering Artificial Inteligence Machine Learning Artificial Intelligence 52

TIBCO - Connected Intelligence

SEPTEMBER 28, 2021

Unify Premium Keynote: Limitless Speed, Trust, and Scale with Agile Data Fabric. Next, Dennis McLaughlin, TIBCO’s Senior Director of Product Management, spoke about the importance of data quality and what role it plays in an agile data fabric.

Data 26

Data Healthcare Virtualization Agile 26

O'Reilly Media - Ideas

JANUARY 14, 2025

Building applications with RAG requires a portfolio of data (company financials, customer data, data purchased from other sources) that can be used to build queries, and data scientists know how to work with data at scale. Data engineers build the infrastructure to collect, store, and analyze data.

Trends 131

Trends Technology Security Artificial Inteligence 131

O'Reilly Media - Ideas

JULY 28, 2020

The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145