Data Engineering and Training

NJ Transit creates ‘data engine’ to fuel transformation

CIO

SEPTEMBER 12, 2022

The chief information and digital officer for the transportation agency moved the stack in his data centers to a best-of-breed multicloud platform approach and has been on a mission to squeeze as much data out of that platform as possible to create the best possible business outcomes. Data engine on wheels’.

Data Engineering

Data Engineering Engineering Data Transportation

V7 snaps up $33M to automate training data for computer vision AI models

TechCrunch

NOVEMBER 28, 2022

It’s only as good as the models and data used to train it, so there is a need for sourcing and ingesting ever-larger data troves. But annotating and manipulating that training data takes a lot of time and money, slowing down the work or overall effectiveness, and maybe both. Image Credits: V7 labs.

Training

Training Data Technical Review Artificial Inteligence

Inferencing holds the clues to AI puzzles

CIO

APRIL 10, 2024

Crunching mathematical calculations, the model then makes predictions based on what it has learned during training. Inferencing crunches millions or even billions of data points, requiring a lot of computational horsepower. The engines use this information to recommend content based on users’ preference history.

Artificial Inteligence

Artificial Inteligence Generative AI Storage Artificial Intelligence

Webinars

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

MORE WEBINARS

Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO

JANUARY 22, 2024

However, the effort to build, train, and evaluate this modeling is only a small fraction of what is needed to reap the vast benefits of generative AI technology. For healthcare organizations, what’s below is data—vast amounts of data that LLMs will have to be trained on. Consider the iceberg analogy.

Generative AI

Generative AI Healthcare Artificial Inteligence Fractional CTO

Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. Given how data changes fast, there’s a clear need for a measuring stick for data and analytics maturity. Workshop video modules include: Breaking down data silos.

Analytics

What is a data architect? Skills, salaries, and how to become a data framework master

CIO

OCTOBER 13, 2023

Big data architect: The big data architect designs and implements data architectures supporting the storage, processing, and analysis of large volumes of data. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data

Data Database Administration Data Engineering Artificial Inteligence

IT leaders get creative to fill data science gaps

CIO

JULY 28, 2022

Synchrony isn’t the only company dealing with a dearth of data scientists to perform increasingly critical work in the enterprise. Companies are struggling to hire true data scientists — the ones trained and experienced enough to work on complex and difficult problems that might have never been solved before. Getting creative.

Data

Data Machine Learning Artificial Inteligence Fractional CTO

Here’s where MLOps is accelerating enterprise AI adoption

TechCrunch

NOVEMBER 18, 2021

In addition to requiring a large amount of labeled historic data to train these models, multiple teams need to coordinate to continuously monitor the models for performance degradation. Data engineers play with tools like ETL/ELT, data warehouses and data lakes, and are well versed in handling static and streaming data sets.

Enterprise

Enterprise Artificial Inteligence Data Engineering Data Center

Survey: Execs eager to implement generative AI, but few know how

CIO

JANUARY 12, 2024

An average of 46% of the survey respondents’ workforces will need additional training , while almost 60% said that their C-suite had limited or no expertise with the technology. It forces conversations like ‘what kind of data stores do we have,’ and ‘what can we really do with them?’”

Generative AI

Generative AI Survey Data Engineering Report

7 Free Google Cloud Training Resources

ParkMyCloud

DECEMBER 11, 2020

If you’re looking to break into the cloud computing space, or just continue growing your skills and knowledge, there are an abundance of resources out there to help you get started, including free Google Cloud training. For free, hands-on training there’s no better place to start than with Google Cloud Platform itself. .

Google Cloud

Google Cloud Training Resources Cloud

The top 15 big data and data analytics certifications

CIO

JUNE 14, 2023

Organization: AWS Price: US$300 How to prepare: Amazon offers free exam guides, sample questions, practice tests, and digital training. It also offers additional practice materials with a subscription to AWS Skill Builder, paid classroom training, and whitepapers. Optional training is available through Cloudera Educational Services.

Big Data

Big Data Analytics Data eLearning

Sifflet raises cash to expand its data observability platform

TechCrunch

MARCH 21, 2023

Sifflet maintains a lineage to make it easier for data engineers to conduct root cause analyses. “AI is used in our monitoring engines, data classification and context enrichment,” she said. ” So, given the competition in the data observability space, can Sifflet reasonably compete? .

Data

Data Data Engineering Training Engineering

6 strategic imperatives for your next data strategy

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

Strategy Technical Review Data Software Review

Expert tips for hiring (and retaining) data scientists

CIO

SEPTEMBER 2, 2022

With IT leaders increasingly needing data scientists to gain game-changing insights from a growing deluge of data, hiring and retaining those key data personnel is taking on greater importance. But there simply aren’t enough trained — not to mention experienced — data scientists for all the companies looking to harness them.

Data

Data Machine Learning Artificial Inteligence Training

Expert tips for hiring (and retaining) data scientists

CIO

SEPTEMBER 1, 2022

With IT leaders increasingly needing data scientists to gain game-changing insights from a growing deluge of data, hiring and retaining those key data personnel is taking on greater importance. But there simply aren’t enough trained — not to mention experienced — data scientists for all the companies looking to harness them.

Data

Data Machine Learning Artificial Inteligence Training

Enhancing customer care through deep machine learning at Travelers

CIO

SEPTEMBER 29, 2022

This is about being able to lift the rest of the more than 29,000 people in the organization and make them better and more informed employees through being able to deliver some set of training to elevate their capabilities. s own desk, or inform about the many different ways data has been used. But we have to bring in the right talent.

Machine Learning

Machine Learning Artificial Inteligence Travel Technical Review

10 most in-demand generative AI skills

CIO

SEPTEMBER 29, 2023

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. TensorFlow Developed by Google as an open-source machine learning framework, TensorFlow is most used to build and train machine learning models and neural networks.

Generative AI

Generative AI ChatGPT Machine Learning Artificial Inteligence

Tecton raises $100M, proving that the MLOps market is still hot

TechCrunch

JULY 12, 2022

But building data pipelines to generate these features is hard, requires significant data engineering manpower, and can add weeks or months to project delivery times,” Del Balso told TechCrunch in an email interview. Systems use features to make their predictions. “We are still in the early innings of MLOps.

Artificial Inteligence

Artificial Inteligence Machine Learning Marketing Data Engineering

Generative AI is a make-or-break moment for CIOs

CIO

AUGUST 7, 2023

The other is to “bring data to the model” — that is, when an organization puts a copy of the large model itself on cloud infrastructure through hyperscalers. In either case, CIOs need to develop pipelines to connect gen AI models to internal data sources. Because of the cost and complexity, this will be the least-common archetype.

Generative AI

Generative AI Off-The-Shelf Architecture Infrastructure

CIOs confront generative AI’s workplace X factor

CIO

JANUARY 16, 2024

CIOs must remember that it is their workforce who will be using this AI technology, and consider the impact of AI on their workforce, ensuring proper management, training, and integration to make the most of their investment.” The workforce will embark on Level 2 [training] while more inducted in this organizational transformation.”

Generative AI

Generative AI Technical Advisors Artificial Inteligence CTO Coach

What is Oracle’s generative AI strategy?

CIO

JULY 6, 2023

The service also comes with Nvidia’s foundation models, such as BioNeMo and Nvidia Picasso, along with AI training and governance frameworks. In contrast, Oracle is yet to configure how it will help enterprises access data and model tuning tools as part of its planned service.

Generative AI

Generative AI Artificial Inteligence Strategy Google Cloud

Cracking the Code: How Dataiku's AI Assistant Upgrades Data Science Workflows

Dataiku

DECEMBER 7, 2023

Full disclosure: As a citizen data scientist, I’ve never formally trained as a software developer or professional data engineer.

Data

Data Machine Learning Artificial Inteligence Data Engineering

KSQL Training for Hands-On Learning

Confluent

JULY 11, 2019

Simon Aubury is a data geek on all things from databases to event streaming, architecture, IoT, and cloud. A data engineer architect from Sydney, Australia, he lives with his wife, two kids, and a grumpy cat. We can’t wait to see what amazing projects are created with KSQL by the fantastic community of developers.

Training

Training Course Exercises IoT

Unlocking the Power of AI with a Real-Time Data Strategy

CIO

FEBRUARY 14, 2023

And, once ML models are trained and deployed, they help to more effectively guide decisions and actions that make the most of the data input. From architectures and databases to feature stores and feature engineering, a myriad of variables must work in sync for this to be accomplished.

Artificial Inteligence

Artificial Inteligence Strategy Data Machine Learning

The 10 most in-demand IT jobs in finance

CIO

SEPTEMBER 2, 2022

In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems. Data engineer.

Software Engineering

Software Engineering Data Engineering DevOps AWS

The 10 most in-demand IT jobs in finance

CIO

AUGUST 31, 2022

In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems. Data engineer.

Software Engineering

Software Engineering Data Engineering DevOps AWS

Data engineers vs. data scientists

O'Reilly Media - Data

APRIL 11, 2018

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

Data Engineering

Data Engineering Engineering Data Artificial Inteligence

Data observability startup Metaplane lands investment from YC, others

TechCrunch

JANUARY 10, 2023

.” Metaplane monitors data using anomaly detection models trained primarily on historical metadata. “Every ‘monitor’ we apply to a customer’s data is trained on its own. “We plan to invest in … creating resources that can help data engineers find us.”

Data

Data Software Review Technical Review Systems Review

New live online training courses

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. Continue reading New live online training courses.

Course

Course Training Artificial Inteligence Software Review

Belcorp reimagines R&D with AI

CIO

JUNE 28, 2023

The team leaned on data scientists and bio scientists for expert support. These algorithms were built on top of an advanced analytics self-service platform, enhancing the agility of our data modeling, training, and predictive processes,” Gopalan explains.

Technical Review

Technical Review Analytics Innovation Artificial Intelligence

12 data science certifications that will pay off

CIO

JANUARY 19, 2024

The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect. The exam consists of 60 questions and the candidate has 90 minutes to complete it.

Artificial Inteligence

Artificial Inteligence Data Machine Learning Azure

The early returns on gen AI for software development

CIO

MARCH 12, 2024

Additionally, we are looking into training LLMs [large language models] on our code base to unlock further productivity boosts for our developers and data engineers. As gen AI becomes increasingly prevalent, “we’re seeing value in having people who are cross-trained with these tools,” Lanehart says. “We

Software Development

Software Development Software Review Weak Development Team Software

10 most difficult-to-fill IT roles — and how to address the gap

CIO

JULY 18, 2023

But, notes Lobo, “in all geographies, finding well-rounded leadership and experienced technical talent in areas such as legacy technologies, cybersecurity, and data science remains a challenge.” CIOs must up their talent game across the board, including talent management, engagement, training, and retention, in addition to hiring.

Technical Advisors

Technical Advisors Artificial Inteligence Generative AI How To

PepsiCo transforms for the digital era

CIO

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company.

Analytics

Analytics KPI IoT Azure

Predibase exits stealth with a low-code platform for building AI models

TechCrunch

MAY 10, 2022

With Predibase, we’ve seen engineers and analysts build and operationalize models directly.” ” Predibase is built on top of open source technologies including Horovod, a framework for AI model training, and Ludwig, a suite of machine learning tools. tech company, a large national bank and large U.S. healthcare company.”

Artificial Inteligence

Artificial Inteligence Machine Learning Off-The-Shelf Training

Train-alytics—or How Automation Improves the Human Condition

TIBCO - Connected Intelligence

DECEMBER 1, 2020

CAF Group is a manufacturer, maintainer and operator of mobility ecosystems, which builds trams, metros, commuter and high-speed trains. A TIBCO analytics user, LeadMind, CAF´s data-driven platform, provides hi-tech solutions to improve the operations and maintenance of those trains. Click To Tweet.

Training

Training Transportation Analytics IoT

Heartex raises $25M for its AI-focused, open source data labeling platform

TechCrunch

MAY 18, 2022

. “At the time, we all worked at different companies and in different industries yet shared the same struggle with model accuracy due to poor-quality training data. We agreed that the only viable solution was to have internal teams with domain expertise be responsible for annotating and curating training data.

Open Source

Open Source Weak Development Team Artificial Inteligence Data

Foote Partners: bonus disparities reveal tech skills most in demand in Q3

CIO

DECEMBER 16, 2022

Cash pay premiums for some IT certifications rose as much as 57% in Q3 in the US, highlighting for employees the importance of keeping up to date on training, and for CIOs the cost of running the latest (or oldest) technologies. On average, though, bonuses for non-certified skills were bigger and faster-growing than those for certifications.

Technical Review

Technical Review Analytics AWS SCRUM

Should you build or buy generative AI?

CIO

JULY 14, 2023

To get good output, you need to create a data environment that can be consumed by the model,” he says. You need to have data engineering skills, and be able to recalibrate these models, so you probably need machine learning capabilities on your staff, and you need to be good at prompt engineering.

Generative AI

Generative AI Artificial Inteligence Open Source ChatGPT

Building a vision for real-time artificial intelligence

CIO

APRIL 12, 2023

Machine learning models (algorithms that comb through data to recognize patterns or make decisions) rely on the quality and reliability of data created and maintained by application developers, data engineers, SREs, and data stewards.

Artificial Inteligence

Artificial Inteligence Artificial Intelligence Machine Learning Agile

One Big Cluster Stuck: The Right Tool for the Right Job

Cloudera

JUNE 26, 2023

Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models.

Tools

Tools Data Engineering Analytics Testing

Gretel AI raises $50M for a platform that lets engineers build and use synthetic data sets to ensure the privacy of their actual data

TechCrunch

OCTOBER 7, 2021

Now, a startup that is building tools to make it easier for engineers to implement the two simultaneously is announcing a round of growth funding to continue expanding its operations. “But now we are running into the bottleneck of the data. But humans are not meant to be mined.”

Artificial Inteligence

Artificial Inteligence Technical Review Engineering Data

The 10 most in-demand tech jobs for 2023 — and how to hire for them

CIO

JANUARY 6, 2023

Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. These candidates will be skilled at troubleshooting databases, understanding best practices, and identifying front-end user requirements.

LAN

LAN Systems Administration How To WAN

Next Stop – Predicting on Data with Cloudera Machine Learning

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. Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Data Collection – streaming data.

Machine Learning

Machine Learning Artificial Inteligence Data Data Engineering

NJ Transit creates ‘data engine’ to fuel transformation

V7 snaps up $33M to automate training data for computer vision AI models

Webinars

Trending Sources

Inferencing holds the clues to AI puzzles

Webinars

Healthcare organizations must create a strong data foundation to fully benefit from generative AI

Data & Analytics Maturity Model Workshop Series

What is a data architect? Skills, salaries, and how to become a data framework master

IT leaders get creative to fill data science gaps

Here’s where MLOps is accelerating enterprise AI adoption

Survey: Execs eager to implement generative AI, but few know how

7 Free Google Cloud Training Resources

The top 15 big data and data analytics certifications

Sifflet raises cash to expand its data observability platform

6 strategic imperatives for your next data strategy

Expert tips for hiring (and retaining) data scientists

Expert tips for hiring (and retaining) data scientists

Enhancing customer care through deep machine learning at Travelers

10 most in-demand generative AI skills

Tecton raises $100M, proving that the MLOps market is still hot

Generative AI is a make-or-break moment for CIOs

CIOs confront generative AI’s workplace X factor

What is Oracle’s generative AI strategy?

Cracking the Code: How Dataiku's AI Assistant Upgrades Data Science Workflows

KSQL Training for Hands-On Learning

Unlocking the Power of AI with a Real-Time Data Strategy

The 10 most in-demand IT jobs in finance

The 10 most in-demand IT jobs in finance

Data engineers vs. data scientists

Data observability startup Metaplane lands investment from YC, others

New live online training courses

Belcorp reimagines R&D with AI

12 data science certifications that will pay off

The early returns on gen AI for software development

10 most difficult-to-fill IT roles — and how to address the gap

PepsiCo transforms for the digital era

Predibase exits stealth with a low-code platform for building AI models

Train-alytics—or How Automation Improves the Human Condition

Heartex raises $25M for its AI-focused, open source data labeling platform

Foote Partners: bonus disparities reveal tech skills most in demand in Q3

Should you build or buy generative AI?

Building a vision for real-time artificial intelligence

One Big Cluster Stuck: The Right Tool for the Right Job

Gretel AI raises $50M for a platform that lets engineers build and use synthetic data sets to ensure the privacy of their actual data

The 10 most in-demand tech jobs for 2023 — and how to hire for them

Next Stop – Predicting on Data with Cloudera Machine Learning

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