CIO

JANUARY 22, 2024

Since the introduction of ChatGPT, the healthcare industry has been fascinated by the potential of AI models to generate new content. While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations.

Generative AI 246

Generative AI Healthcare Artificial Inteligence Fractional CTO 246

CIO

JANUARY 19, 2024

Data scientist is one of the hottest jobs in IT. Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024.

Artificial Inteligence 317

Artificial Inteligence Data Machine Learning Azure 317

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 290

Data Engineering Engineering Data Transportation 290

CIO

JULY 14, 2023

But many organizations are limiting use of public tools while they set policies to source and use generative AI models. CIOs want to take advantage of this but on their terms—and their own data. In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.”

Generative AI 246

Generative AI Artificial Inteligence Open Source ChatGPT 246

Mentormate

DECEMBER 12, 2023

In a previous blog post, we introduced a five-phase framework to plan out Artificial Intelligence (AI) and Machine Learning (ML) initiatives. The Traditional Machine Learning Workflow Initiating a traditional ML project begins with collecting data. Duplicated records are identified and rectified.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Technical Review Development 52

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 331

Data Database Administration Data Engineering Artificial Inteligence 331

CIO

JULY 6, 2023

The first tier, according to Batta, consists of its OCI Supercluster service and is targeted at enterprises, such as Cohere or Hugging Face, that are working on developing large language models to further support their customers.

Generative AI 283

Generative AI Artificial Inteligence Strategy Google Cloud 283

CIO

DECEMBER 11, 2023

Both healthcare payers and providers remain cautious about how to use this latest version of artificial intelligence, and rightfully so. You have to balance the potential benefits of generative AI with significant, important operational issues, such as ensuring patient data privacy and complying with regulatory requirements.

Generative AI 189

Generative AI Artificial Inteligence Healthcare Artificial Intelligence 189

The Accidental Successful CIO

JANUARY 25, 2023

CIOs Need To Prepare For The Arrival Of AI CIOs can remember not all that long ago that AI was the exclusive domain of data scientists. All people have to do is to plug data into standardized AI templates. These templates still require tech-savvy users to be used and can take weeks of model training, testing and validation.

Artificial Inteligence 98

Artificial Inteligence Artificial Intelligence Machine Learning Training 98

Daffodil Software

AUGUST 24, 2022

Artificial Intelligence (AI) and data engineering are closely interlinked. On one hand, making sense of unstructured data is the process known as data science or data engineering. So one cannot exist without the other.

Data Engineering 98

Data Engineering Engineering Artificial Intelligence Artificial Inteligence 98

TechEmpower CTO

NOVEMBER 13, 2023

On a different project, we’d just used a Large Language Model (LLM) - in this case OpenAI’s GPT - to provide users with pre-filled text boxes, with content based on choices they’d previously made. The information provided was all pulled from data he’s already entered - just Mark, Houston, Math Teacher, Teach for America.

Generative AI 295

Generative AI Artificial Inteligence Real Estate Education 295

CIO

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. Real-time data involves a continuous flow of data in motion.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

AWS Machine Learning - AI

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. We then discuss how building on a secure foundation is essential for generative AI.

Artificial Inteligence 119

Artificial Inteligence Generative AI Security Applications 119

OTS Solutions

MARCH 14, 2019

There Are Top Seven Tips for Scaling Your Artificial Intelligence Strategy. In just the last few years, a large number of enterprises have started to work on incorporating an artificial intelligence strategy into their business. They will learn how to use apps that are enhanced with AI.

Artificial Inteligence 140

Artificial Inteligence Artificial Intelligence Strategy Technical Review 140

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 317

Big Data Analytics Data eLearning 317

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

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 359

Data Machine Learning Artificial Inteligence Fractional CTO 359

Netflix Tech

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. We have also noted a great potential for further improvement by model tuning (see the section of Rollout in Production).

Machine Learning 84

Machine Learning Artificial Inteligence Data Systems Review 84

Dzone - DevOps

NOVEMBER 7, 2023

Databricks is a cloud-based platform designed to simplify the process of building data engineering pipelines and developing machine learning models.

Data Engineering 76

Data Engineering Engineering Machine Learning Artificial Inteligence 76

Cloudera

APRIL 9, 2021

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection.

Machine Learning 98

Machine Learning Artificial Inteligence Data Data Engineering 98

TechCrunch

OCTOBER 19, 2021

Mage , developing an artificial intelligence tool for product developers to build and integrate AI into apps, brought in $6.3 While collaborating with product developers, Dang and Wang saw that while product developers wanted to use AI, they didn’t have the right tools in which to do it without relying on data scientists.

Artificial Inteligence 248

Artificial Inteligence Machine Learning Tools Technical Review 248

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

CIO

JANUARY 17, 2024

Di conseguenza, una delle massime priorità del CIO per il 2024 è scoprire e approfondire il valore aggiunto che i lavoratori umani possono concretamente ottenere utilizzando le LLM, e molto di questo rimane sconosciuto. Sono passati solo 13 mesi e il tempo è diventato non lineare”, ha commentato.

Artificial Inteligence 246

Artificial Inteligence ChatGPT Generative AI Strategy 246

The Crazy Programmer

NOVEMBER 6, 2021

Data Scientist. Data scientist is the most demanding profession in the IT industry. Currently, the demand for data scientists has increased 344% compared to 2013. hence, if you want to interpret and analyze big data using a fundamental understanding of machine learning and data structure.

Artificial Inteligence 290

Artificial Inteligence Artificial Intelligence Blockchain Software Review 290

CIO

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Analytics 338

Analytics Data Analysis Business Analytics 338

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 290

Strategy Technical Review Data Software Review 290

Apiumhub

JANUARY 26, 2022

Data engineer roles have gained significant popularity in recent years. Number of studies show that the number of data engineering job listings has increased by 50% over the year. And data science provides us with methods to make use of this data. Who are data engineers?

Data Engineering 52

Data Engineering Engineering Data Machine Learning 52

O'Reilly Media - Data

AUGUST 16, 2018

The O’Reilly Data Show Podcast: Harish Doddi on accelerating the path from prototype to production. In this episode of the Data Show , I spoke with Harish Doddi , co-founder and CEO of Datatron , a startup focused on helping companies deploy and manage machine learning models.

Machine Learning 105

Machine Learning Artificial Inteligence Data Engineering Compliance 105

Cloudera

MARCH 6, 2024

As we enter into a new month, the Cloudera team is getting ready to head off to the Gartner Data & Analytics Summit in Orlando, Florida for one of the most important events of the year for Chief Data Analytics Officers (CDAOs) and the field of data and analytics.

Analytics 103

Analytics Artificial Inteligence Data Generative AI 103

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. Better user experience.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

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 137

Machine Learning Artificial Inteligence Data Marketing 137

O'Reilly Media - Data

MAY 24, 2018

The O’Reilly Data Show Podcast: A special episode to mark the 100th episode. This episode of the Data Show marks our 100th episode. We had a collection of friends who were key members of the data science and big data communities on hand and we decided to record short conversations with them.

Data Engineering 117

Data Engineering Engineering Data Machine Learning 117

d2iq

JANUARY 18, 2022

Integration: Only a small percentage of production ML systems are model code; the rest is glue code needed to make the overall process repeatable, reliable, and resilient. Security: Data privacy and security are often afterthoughts during the process of model creation but are critical in production.

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Artificial Inteligence Machine Learning AWS Weak Development Team 72

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. The germination for Gretel.ai

Artificial Inteligence 246

Artificial Inteligence Technical Review Engineering Data 246

TechCrunch

JULY 12, 2022

Machine learning can provide companies with a competitive advantage by using the data they’re collecting — for example, purchasing patterns — to generate predictions that power revenue-generating products (e.g. At a high level, Tecton automates the process of building features using real-time data sources.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Marketing Data Engineering 249

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 Science and Machine Learning sessions will cover tools, techniques, and case studies.

Machine Learning 155

Machine Learning Artificial Inteligence Company Case Study 155

Perficient

FEBRUARY 13, 2023

Introduction: We often end up creating a problem while working on data. So, here are few best practices for data engineering using snowflake: 1.Transform Using COPY and SNOWPIPE is the fastest and cheapest way to load data. Especially important is the ability to reload and reprocess the data in the event of an error.

Data Engineering 69

Data Engineering Engineering Data Storage 69