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

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

TechCrunch

NOVEMBER 28, 2022

Artificial intelligence promises to help, and maybe even replace, humans to carry out everyday tasks and solve problems that humans have been unable to tackle, yet ironically, building that AI faces a major scaling problem. It has effectively built training models to automate the training of those models.

Training 240

Training Data Technical Review Artificial Inteligence 240

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

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

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 120

Artificial Inteligence Generative AI Security Applications 120

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

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

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

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

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

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

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

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

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

CIO

SEPTEMBER 29, 2023

Upwork analyzed data from its platform, examining the types of projects companies hired freelancers for thus far this year, to identify the most sought-after AI skills on the market. Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer.

Generative AI 357

Generative AI ChatGPT Machine Learning Artificial Inteligence 357

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

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. Data scientists have the alchemy to turn data into insights. Gartner reported that a data scientist in Washington, D.C.,

Data 246

Data Machine Learning Artificial Inteligence Training 246

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. Data scientists have the alchemy to turn data into insights. Gartner reported that a data scientist in Washington, D.C.,

Data 246

Data Machine Learning Artificial Inteligence Training 246

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

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 Artificial Inteligence Data 203

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

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. In this article, we explore model governance, a function of ML Operations (MLOps). Machine Learning Model Lineage. classification problem. Figure 01: Is this a chihuahua or a muffin?

Machine Learning 81

Machine Learning Artificial Inteligence Weak Development Team Construction 81

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

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.” Gen AI can pull data together and gives data scientists a different lens, but it can’t ideate for us. “Gen

Generative AI 326

Generative AI Technical Advisors Artificial Inteligence CTO Coach 326

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

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

DataRobot

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). These initiatives utilize interconnected devices and automated machines that create a hyperbolic increase in data volumes. High-level example of a common machine learning lifecycle.

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Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

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 ” The market for synthetic data is bigger than you think. ” The market for synthetic data is bigger than you think.

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

d2iq

FEBRUARY 19, 2021

Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

Cloudera

JANUARY 20, 2021

to make a classification model based off of training data stored in both Cloudera’s Operational Database (powered by Apache HBase) and Apache HDFS. Afterwards, this model is then scored and served through a simple Web Application. Machine learning is now being used to solve many real-time problems.

Machine Learning 112

Machine Learning Artificial Inteligence Applications Data 112

Dataiku

DECEMBER 7, 2023

Full disclosure: As a citizen data scientist, I’ve never formally trained as a software developer or professional data engineer. Luckily for me, Dataiku provides AI Code Assistants in Jupyter Notebooks and VS Code to help address the time-consuming tasks I run into when building out data pipelines in code.

Data 81

Data Machine Learning Artificial Inteligence Data Engineering 81

CIO

JULY 18, 2023

The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill. The net result? S&P Global, for example, is entering its AI 2.0

Technical Advisors 246

Technical Advisors Artificial Inteligence Generative AI How To 246

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. The company is also describing itself as a machine learning-as-a-service platform.

Fintech 267

Fintech Infrastructure Data Machine Learning 267

Altexsoft

MAY 27, 2020

Machine learning (ML) history can be traced back to the 1950s, when the first neural networks and ML algorithms appeared. Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements.

Machine Learning 89

Machine Learning Artificial Inteligence Architecture Training 89