CIO

APRIL 15, 2022

Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year.

Analytics 218

Analytics Artificial Inteligence Machine Learning Systems Review 218

CIO

MARCH 13, 2025

To help address the problem, he says, companies are doing a lot of outsourcing, depending on vendors and their client engagement engineers, or sending their own people to training programs. And the challenge isnt just about finding people with technical skills, says Bharath Thota, partner at Kearneys Digital & Analytics Practice.

Part-Time VPE 205

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

CIO

NOVEMBER 1, 2024

Setting the standard for analytics and AI As the core development platform was refined, Marsh McLellan continued moving workloads to AWS and Azure, as well as Oracle Cloud Infrastructure and Google Cloud Platform. Simultaneously, major decisions were made to unify the company’s data and analytics platform.

Generative AI 158

Generative AI Technical Advisors Insurance Weak Development Team 158

TechCrunch

JUNE 14, 2021

If you’re not familiar with Dataiku, the platform lets you turn raw data into advanced analytics, run some data visualization tasks, create data-backed dashboards and train machine learning models. In particular, Dataiku can be used by data scientists, but also business analysts and less technical people.

Enterprise 334

Enterprise Company Artificial Inteligence Machine Learning 334

CIO

DECEMBER 10, 2024

Our LLM was built on EXLs 25 years of experience in the insurance industry and was trained on more than a decade of proprietary claims-related data. Our EXL Insurance LLM is consistently achieving a 30% improvement in accuracy on insurance-related tasks over the top pre-trained models, such as GPT4, Claude, and Gemini.

Artificial Inteligence 174

Artificial Inteligence Off-The-Shelf Insurance Analytics 174

CIO

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. more machine learning use casesacross the company. By Bryan Kirschner, Vice President, Strategy at DataStax.

Artificial Inteligence 178

Artificial Inteligence Machine Learning Data Architecture 178

CIO

JANUARY 6, 2025

AI and Machine Learning will drive innovation across the government, healthcare, and banking/financial services sectors, strongly focusing on generative AI and ethical regulation. Digital health solutions, including AI-powered diagnostics, telemedicine, and health data analytics, will transform patient care in the healthcare sector.

Trends 122

Trends Artificial Inteligence IoT Energy 122

CIO

OCTOBER 24, 2024

We have companies trying to build out the data centers that will run gen AI and trying to train AI,” he says. TRECIG, a cybersecurity and IT consulting firm, will spend more on IT in 2025 as it invests more in advanced technologies such as artificial intelligence, machine learning, and cloud computing, says Roy Rucker Sr.,

Data Center 200

Data Center Artificial Inteligence Generative AI Artificial Intelligence 200

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

CIO

OCTOBER 18, 2023

In September 2021, Fresenius set out to use machine learning and cloud computing to develop a model that could predict IDH 15 to 75 minutes in advance, enabling personalized care of patients with proactive intervention at the point of care. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. DataOps goals According to Dataversity , the goal of DataOps is to streamline the design, development, and maintenance of applications based on data and data analytics. What is DataOps?

Analytics 195

Analytics Data Engineering Artificial Inteligence Machine Learning 195

CIO

APRIL 23, 2025

Streamline processing: Build a system that supports both real-time updates and batch processing , ensuring smooth, agile operations across policy updates, claims and analytics. The time-travel functionality of the delta format enables AI systems to access historical data versions for training and testing purposes.

Insurance 164

Insurance Artificial Inteligence Data Architecture 164

CIO

DECEMBER 11, 2024

Digital transformation started creating a digital presence of everything we do in our lives, and artificial intelligence (AI) and machine learning (ML) advancements in the past decade dramatically altered the data landscape. Historically, this pillar was part of analytics and reporting, and it remains so in many cases.

Data 167

Data Technical Review Software Review Weak Development Team 167

TechCrunch

NOVEMBER 23, 2022

The market for corporate training, which Allied Market Research estimates is worth over $400 billion, has grown substantially in recent years as companies realize the cost savings in upskilling their workers. By creating what Agley calls “knowledge spaces” rather than linear training courses. ” Image Credits: Obrizum.

Training 195

Training Technical Review Software Review Analytics 195

TechCrunch

JUNE 7, 2022

A 2020 IDC survey found that a shortage of data to train AI and low-quality data remain major barriers to implementing it, along with data security, governance, performance and latency issues. “The main challenge in building or adopting infrastructure for machine learning is that the field moves incredibly quickly.

Artificial Inteligence 251

Artificial Inteligence Machine Learning Weak Development Team Data 251

O'Reilly Media - Data

NOVEMBER 25, 2019

In this interview from O’Reilly Foo Camp 2019, Dean Wampler, head of evangelism at Anyscale.io, talks about moving AI and machine learning into real-time production environments. In some cases, AI and machine learning technologies are being used to improve existing processes, rather than solving new problems.

Research 327

Research Artificial Inteligence Machine Learning Artificial Intelligence 327

CIO

MARCH 26, 2025

To regularly train models needed for use cases specific to their business, CIOs need to establish pipelines of AI-ready data, incorporating new methods for collecting, cleansing, and cataloguing enterprise information. Now with agentic AI, the need for quality data is growing faster than ever, giving more urgency to the existing trend.

CTO 193

CTO Data Infrastructure Artificial Inteligence 193

CIO

MARCH 21, 2022

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 education and training. What is a data scientist? Data scientist job description.

Analytics 205

Analytics Data Technical Review Analysis 205

TechCrunch

MARCH 16, 2022

TruEra , a startup that offers an AI quality management solution to optimize, explain and monitor machine learning models, today announced that it has raised a $25 million Series B round led by Menlo Ventures. “If I were the machine learning data scientist, what would I want to use?

Analytics 218

Analytics Artificial Inteligence Machine Learning Software Development 218

AWS Machine Learning - AI

MARCH 20, 2025

It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats. In retail and hospitality, speech analytics drives customer engagement by uncovering insights from live feedback and recorded interactions.

Data 116

Data Generative AI Artificial Inteligence Compliance 116

CIO

DECEMBER 4, 2024

We’ve had folks working with machine learning and AI algorithms for decades,” says Sam Gobrail, the company’s senior director for product and technology. Instead of looking for someone with an exact skill set, sometimes you have to look for somebody more junior and indicate you’ll train them.”

Recruiting 202

Recruiting Artificial Inteligence Programming Technology 202

TechCrunch

MAY 17, 2023

At the core of Union is Flyte , an open source tool for building production-grade workflow automation platforms with a focus on data, machine learning and analytics stacks. But there was always friction between the software engineers and machine learning specialists. ” Image Credits: Union.ai

Artificial Inteligence 246

Artificial Inteligence Machine Learning Open Source Data 246

CIO

APRIL 8, 2024

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. Computer vision, AI, and machine learning (ML) all now play a role. Souza’s advice: Cultivate curiosity.

Sport 177

Sport Games Analytics Artificial Inteligence 177

TechCrunch

MAY 10, 2022

Data science teams are stymied by disorganization at their companies, impacting efforts to deploy timely AI and analytics projects. “The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization.

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

AWS Machine Learning - AI

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. The TAT-QA dataset has been divided into train (28,832 rows), dev (3,632 rows), and test (3,572 rows).

Artificial Inteligence 97

Artificial Inteligence Generative AI Training Metrics 97

The Crazy Programmer

JULY 14, 2020

Data Scientist collects the Data and Develop, Implement the Machine learning algorithm , He uses the Advance Statistics and Predictive Analysis for extract the useful information from Big amount of Data. He also uses Deep Learning and Neural Networks to build Artificial Intelligence System. Who is a Data Scientist? BITS Pilani.

Artificial Inteligence 283

Artificial Inteligence Data How To Machine Learning 283

Hacker Earth Developers Blog

JANUARY 18, 2023

Some of the best data science professionals we’ve worked with have unrelated degrees and have learned everything by themselves – either from online courses, Kaggle, blogs, or self-training. Ashutosh: AI, machine learning, and quantum computing are all rapidly advancing technologies that have a significant impact on data science.

Technical Review 264

Technical Review Artificial Inteligence Data Recruiting 264

CIO

OCTOBER 31, 2024

You may be unfamiliar with the name, but Norma Group products are used wherever pipes are connected and liquids are conveyed, from water supply and irrigation systems in vehicles, trains and aircraft, to agricultural machinery and buildings.

Groups 133

Groups Systems Review Technical Review Serverless 133

N2Growth Blog

NOVEMBER 13, 2024

AI and machine learning enable recruiters to make data-driven decisions. Furthermore, predictive analytics can forecast hiring needs based on business growth projections and market trends, allowing organizations to address talent gaps proactively.

Strategy 163

Strategy Marketing Recruiting Technical Review 163

CIO

JULY 28, 2022

“We try to be data-driven in our decisions so we have a great need for analytics skill sets. … 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. These people are making up a data science support system.

Data 215

Data Artificial Inteligence Machine Learning Fractional CTO 215

CIO

APRIL 2, 2025

The spectrum is broad, ranging from process automation using machine learning models to setting up chatbots and performing complex analyses using deep learning methods. They examine existing data sources and select, train and evaluate suitable AI models and algorithms. These include: Analytical and structured thinking.

Artificial Inteligence 120

Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 120

CIO

APRIL 22, 2022

Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science vs. data analytics. While closely related, data analytics is a component of data science, used to understand what an organization’s data looks like.

Data 210

Data Artificial Inteligence Machine Learning Analytics 210

N2Growth Blog

DECEMBER 4, 2024

CMOs are now at the forefront of crafting holistic customer experiences, leveraging data analytics to gain insights into consumer behavior, and developing strategies that drive engagement across multiple channels. Enhancing decision-making comes from combining insights from marketing analytics and digital data to make informed choices.

Digital Marketing 138

Digital Marketing Marketing Artificial Inteligence Culture 138

CIO

APRIL 26, 2023

What’s not often discussed, however, are the mistakes IT leaders make when establishing and supervising training programs, particularly when training is viewed as little more than an obligatory task. Is your organization giving its teams the training they need to keep pace with the latest industry developments?

Training 158

Training Technical Advisors Artificial Inteligence Fractional CTO 158

AWS Machine Learning - AI

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. He helps support large enterprise customers at AWS and is part of the Machine Learning TFC.

Generative AI 111

Generative AI Video Engineering Artificial Inteligence 111

AWS Machine Learning - AI

AUGUST 21, 2024

Amazon SageMaker Canvas is a no-code machine learning (ML) service that empowers business analysts and domain experts to build, train, and deploy ML models without writing a single line of code. He specializes in Machine Learning & Data Analytics with focus on Data and Feature Engineering domain.

Artificial Inteligence 121

Artificial Inteligence Machine Learning Government Software Review 121

TechCrunch

SEPTEMBER 15, 2021

The company, founded in 2015 by Charles Lee and Harley Trung, who previously worked as software engineers, pivoted from offline to online in early 2020 to bring high-quality technical training to everyone, everywhere. “Coding is the future.

Course 248

Course Education Artificial Inteligence Machine Learning 248