CIO

MARCH 13, 2025

Hes seeing the need for professionals who can not only navigate the technology itself, but also manage increasing complexities around its surrounding architectures, data sets, infrastructure, applications, and overall security. There are data scientists, but theyre expensive, he says.

Part-Time VPE 205

Part-Time VPE Weak Development Team Fractional VPE Fractional CTO 205

Xebia

DECEMBER 23, 2024

Modern Pay-As-You-Go Data Platforms: Easy to Start, Challenging to Control It’s Easier Than Ever to Start Getting Insights into Your Data The rapid evolution of data platforms has revolutionized the way businesses interact with their data. The result? Yet, this flexibility comes with risks.

Data 130

Data Storage Culture Resources 130

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 240

Training Data Technical Review Artificial Inteligence 240

Xebia

DECEMBER 23, 2024

Modern Pay-As-You-Go Data Platforms: Easy to Start, Challenging to Control It’s Easier Than Ever to Start Getting Insights into Your Data The rapid evolution of data platforms has revolutionized the way businesses interact with their data. The result? Yet, this flexibility comes with risks.

Data 130

Data Storage Culture Resources 130

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’. NJ Transit.

Data Engineering 174

Data Engineering Engineering Data Transportation 174

CIO

MARCH 13, 2025

Thats why we view technology through three interconnected lenses: Protect the house Keep our technology and data secure. Educating and training our team With generative AI, for example, its adoption has surged from 50% to 72% in the past year, according to research by McKinsey. Does their contract language reflect responsible AI use?

Company 186

Company Generative AI Insurance Education 186

TechCrunch

NOVEMBER 18, 2021

In the early 2000s, most business-critical software was hosted on privately run data centers. DevOps fueled this shift to the cloud, as it gave decision-makers a sense of control over business-critical applications hosted outside their own data centers.

Enterprise 344

Enterprise Artificial Inteligence Data Engineering Data Center 344

CIO

DECEMBER 10, 2024

As many companies that have already adopted off-the-shelf GenAI models have found, getting these generic LLMs to work for highly specialized workflows requires a great deal of customization and integration of company-specific data. million on inference, grounding, and data integration for just proof-of-concept AI projects.

Artificial Inteligence 174

Artificial Inteligence Off-The-Shelf Insurance Analytics 174

Xebia

MARCH 13, 2025

The implementation was a over-engineered custom Feast implementation using unsupported backend data stores. The engineer that implemented it had left the company by the time I joined. Unfortunately, the blog post only focuses on train-serve skew. Feature stores solve more than just train-serve skew.

Training 130

Training Machine Learning Artificial Inteligence Data 130

CIO

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science gives the data collected by an organization a purpose. Data science vs. data analytics. Data science jobs.

Data 210

Data Machine Learning Artificial Inteligence Analytics 210

CIO

JULY 28, 2022

For the past few years, IT leaders at a US financial services company have been struggling to hire data scientists to harness the increasing flood of incoming data that, if used properly, could improve customer experience and drive new products. It’s exponentially harder when it comes to data scientists.

Data 215

Data Artificial Inteligence Machine Learning Fractional CTO 215

CIO

APRIL 30, 2025

Uniteds methodical building of data infrastructure, compliance frameworks, and specialized talent demonstrates how traditional companies can develop true AI readiness that delivers measurable results for both customers and employees. We also built an organization skilled in the data engineering and data science required for AI.

Airlines 124

Airlines Strategy ChatGPT Software Review 124

TechCrunch

JANUARY 10, 2023

The need for data observability, or the ability to understand, diagnose and orchestrate data health across various IT tools, continues to grow as organizations adopt more apps and services. Other observability vendors with substantial backing behind them include Manta , Observe , Better Stack , Coralogix and Unravel Data.

Data 241

Data Software Review Technical Review Systems Review 241

O'Reilly Media - Data

JULY 18, 2018

While models and algorithms garner most of the media coverage, this is a great time to be thinking about building tools in data. In this post I share slides and notes from a keynote I gave at the Strata Data Conference in London at the end of May. Economic value of data.

Machine Learning 196

Machine Learning Artificial Inteligence Data Marketing 196

TechCrunch

MARCH 21, 2023

Organizations dealing with large amounts of data often struggle to ensure that data remains high-quality. According to a survey from Great Expectations, which creates open source tools for data testing, 77% of companies have data quality issues and 91% believe that it’s impacting their performance.

Data 202

Data Data Engineering Training Engineering 202

CIO

NOVEMBER 7, 2024

We are continuously deploying new data capabilities and insights, we are pushing forward with our digital progression agenda, and we’re also building these generative AI capabilities internally to help our employees have more productivity in their day to day. What’s your mindset when it comes to data? We’re modernizing our ecosystem.

Artificial Inteligence 180

Artificial Inteligence Development Generative AI Artificial Intelligence 180

CIO

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

CIO

JANUARY 3, 2025

At the same time, the scale of observability data generated from multiple tools exceeds human capacity to manage. Observability builds on the growth of sophisticated IT monitoring tools, starting with the premise that the operational state of every network node should be understandable from its data outputs.

Organization 158

Organization Artificial Inteligence Artificial Intelligence DevOps 158

Xebia

FEBRUARY 28, 2025

These days Data Science is not anymore a new domain by any means. The time when Hardvard Business Review posted the Data Scientist to be the “Sexiest Job of the 21st Century” is more than a decade ago [1]. In 2019 alone the Data Scientist job postings on Indeed rose by 256% [2]. Why is that?

Technical Review 182

Technical Review Weak Development Team Machine Learning Artificial Inteligence 182

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. They could see that the longer-term issue would be a growing need and priority for data privacy. “But now we are running into the bottleneck of the data. .

Artificial Inteligence 246

Artificial Inteligence Engineering Technical Review Data 246

CIO

OCTOBER 9, 2024

As the technology subsists on data, customer trust and their confidential information are at stake—and enterprises cannot afford to overlook its pitfalls. Yet, it is the quality of the data that will determine how efficient and valuable GenAI initiatives will be for organizations.

Strategy 215

Strategy Data Artificial Inteligence Storage 215

TechCrunch

MARCH 31, 2021

The first is that it can be difficult to differentiate machine learning roles from more traditional job profiles (such as data analysts, data engineers and data scientists) because there’s a heavy overlap between descriptions. Recruiting for ML comes with several challenges. Image Credits: Snehal Kundalkar.

Artificial Inteligence 363

Artificial Inteligence Machine Learning Part-Time VPE Recruiting 363

CIO

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 190

Big Data Analytics Data eLearning 190

TechCrunch

AUGUST 17, 2021

Unbundling financial data through APIs and driving data-driven insights with value-add products in Africa keeps getting more exciting as major players continue to raise more money for scale. Pngme, a financial data platform, closes $3M seed to accelerate growth in Sub-Saharan Africa.

Fintech 267

Fintech Infrastructure Data Machine Learning 267

Altexsoft

OCTOBER 30, 2021

Explaining the difference, especially when they both work with something intangible such as data , is difficult. If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98

CIO

FEBRUARY 19, 2025

The early part of 2024 was disappointing when it comes to ROI, says Traci Gusher, data and analytics leader at EY Americas. Once you get Copilot for Office 365, you go through training, and thats driven up our utilization to around 93%. With these paid versions, our data remains secure within our own tenant, he says.

Google Cloud 206

Google Cloud Survey CTO Coach Software Development 206

CIO

DECEMBER 4, 2024

And to ensure a strong bench of leaders, Neudesic makes a conscious effort to identify high performers and give them hands-on leadership training through coaching and by exposing them to cross-functional teams and projects. The new team needs data engineers and scientists, and will look outside the company to hire them.

Recruiting 202

Recruiting Artificial Inteligence Programming Technology 202

CIO

JANUARY 22, 2025

The trouble is, when people in the business do their own thing, IT loses control, and protecting against loss of data and intellectual property becomes an even bigger concern. AI models will be developed differently for different industries, and different data will be used to train for the healthcare industry than for logistics, for example.

Weak Development Team 192

Weak Development Team Education Meeting Data 192

TechCrunch

MAY 18, 2022

Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. 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 203

Open Source Weak Development Team Data Artificial Inteligence 203

CIO

APRIL 1, 2025

Job titles like data engineer, machine learning engineer, and AI product manager have supplanted traditional software developers near the top of the heap as companies rush to adopt AI and cybersecurity professionals remain in high demand. Demand for developers is simply growing at a slower rate than other IT roles.

Marketing 152

Marketing Software Development Software Development 152

Hacker Earth Developers Blog

JUNE 26, 2019

Data science is one of the most sought after jobs of the 21st century. But how do you hire a data scientist who fits the bill? According to Firstround.com , in a competitive field like data science, strong candidates often receive 3 or more offers, so success rates of hiring are commonly below 50%. Data Science.

Data 200

Data How To Machine Learning Artificial Inteligence 200

CIO

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist job description. Data scientist vs. data analyst.

Analytics 205

Analytics Data Technical Review Analysis 205

CIO

MAY 21, 2024

In the annual Porsche Carrera Cup Brasil, data is essential to keep drivers safe and sustain optimal performance of race cars. Until recently, getting at and analyzing that essential data was a laborious affair that could take hours, and only once the race was over. The process took between 30 minutes and two hours.

Data 190

Data Azure Engineering Analytics 190

CIO

JULY 22, 2024

But with analytics and AI becoming table-stakes to staying competitive in the modern business world, the Michigan-based company struggled to leverage its data. “We We didn’t have a centralized place to do it and really didn’t do a great job governing our data. We focused a lot on keeping our data secure.

Government 179

Government Data Analytics Chemicals 179

CIO

APRIL 2, 2025

Whether in process automation, data analysis or the development of new services AI holds enormous potential. This includes, among other things, handling sensitive data, avoiding discrimination through algorithmic bias, and taking into account regulatory requirements such as the GDPR and the AI Regulation. Model and data analysis.

Artificial Inteligence 120

Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 120

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. It is a critical feature for delivering unified access to data in distributed, multi-engine architectures.

Data 84

Data Analytics Systems Review Architecture 84

CIO

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Strategy 174

Strategy Technical Review Data Software Review 174