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. In other words, they dedicate a quarter of their efforts to infrastructure — instead of doing what they can do best.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

TechCrunch

SEPTEMBER 28, 2021

Arize AI is applying machine learning to some of technology’s toughest problems. The company touts itself as “the first ML observability platform to help make machine learning models work in production.” Its technology monitors, explains and troubleshoots model and data issues.

Artificial Inteligence 245

Artificial Inteligence Machine Learning Fintech Retail 245

The Crazy Programmer

NOVEMBER 6, 2021

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. Because the salary for a data scientist can be over Rs5,50,000 to Rs17,50,000 per annum.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

CIO

NOVEMBER 1, 2024

As part of MMTech’s unifying strategy, Beswick chose to retire the data centers and form an “enterprisewide architecture organization” with a set of standards and base layers to develop applications and workloads that would run on the cloud, with AWS as the firm’s primary cloud provider.

Generative AI 158

Generative AI Technical Advisors Insurance Weak Development Team 158

O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Data Platforms.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

TechCrunch

SEPTEMBER 27, 2021

Machine learning and other artificial intelligence applications add even more complexity. “With a step-function increase in folks working/studying from home and relying on cloud-based SaaS/PaaS applications, the deployment of scalable hardware infrastructure has accelerated,” Gajendra said in an email to TechCrunch.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

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 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

OTS Solutions

JUNE 3, 2022

At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. Modern technical advancements in healthcare have made it possible to quickly handle critical medical data, medical records, pharmaceutical orders, and other data. It’s all about big data. .

Healthcare 345

Healthcare Artificial Inteligence Trends Artificial Intelligence 345

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

Big Data 108

Big Data Technology Tools Cloud 108

O'Reilly Media - Ideas

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in London earlier this year. Use ML to unlock new data types—e.g.,

Machine Learning 111

Machine Learning Artificial Inteligence Technical Review Company 111

UruIT

MARCH 25, 2020

Big data refers to the set of techniques used to store and/or process large amounts of data. . Usually, big data applications are one of two types: data at rest and data in motion. For this article, we’ll focus mainly on data at rest applications and on the Hadoop ecosystem specifically.

Big Data 120

Big Data Applications Data Technical Review 120

AWS Machine Learning - AI

AUGUST 21, 2024

Amazon DataZone allows you to create and manage data zones , which are virtual data lakes that store and process your data, without the need for extensive coding or infrastructure management. However, ML governance plays a key role to make sure the data used in these models is accurate, secure, and reliable.

Artificial Inteligence 121

Artificial Inteligence Machine Learning Government Software Review 121

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

AWS Machine Learning - AI

APRIL 30, 2025

With a multitude of customer learnings, paired with AWS expertise, we can identify key strategies for implementation. The company developed a comprehensive generative AI framework, which establishes enterprise-grade governance and security guardrails for generative AI use case roll-out at scale with infrastructure blueprints.

Generative AI 67

Generative AI Artificial Inteligence AWS Machine Learning 67

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

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. Now the company is building its own internal program to train AI engineers.

Part-Time VPE 205

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

TechCrunch

SEPTEMBER 7, 2021

The company’s technology treats each source of data across different clouds as a salient pipeline which can be merged and analyzed as a single body, without that data ever leaving the boundaries of the infrastructure where it already exists.

Data 200

Data Machine Learning Artificial Inteligence Pharmaceuticals 200

Hacker Earth Developers Blog

JANUARY 22, 2020

Right from programming projects such as data mining and Machine Learning, Python is the most favored programming language. Some of the common job roles requiring Python as a skill are: Data scientists . Data analyst. Machine Learning engineer. Machine Learning developers. Tech leads.

Technical Review 216

Technical Review Machine Learning Artificial Inteligence Software Review 216

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

TechCrunch

NOVEMBER 9, 2021

valuation for its big data management platform. There is a ‘Renaissance’ around data and fueling artificial intelligence models,” he added. These were manually done before, and now we use AI and machine learning to automate models. It is how we observe the data infrastructure and prepare for problems.”.

Artificial Inteligence 194

Artificial Inteligence Company Data Machine Learning 194

TechCrunch

JULY 12, 2022

The fundraising perhaps reflects the growing demand for platforms that enable flexible data storage and processing. One increasingly popular application is big data analytics, or the process of examining data to uncover patterns, correlations and trends (e.g., customer preferences).

Storage 206

Storage Big Data Analytics Survey 206

UruIT

MARCH 25, 2020

Big data refers to the set of techniques used to store and/or process large amounts of data. . Usually, big data applications are one of two types: data at rest and data in motion. For this article, we’ll focus mainly on data at rest applications and on the Hadoop ecosystem specifically.

Big Data 94

Big Data Applications Data Technical Review 94

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

Cloudera

JULY 9, 2019

Today, much of that speed and efficiency relies on insights driven by big data. Yet big data management often serves as a stumbling block, because many businesses continue to struggle with how to best capture and analyze their data. Unorganized data presents another roadblock.

Big Data 78

Big Data Data Agile Enterprise 78

Altexsoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work?

Big Data 98

Big Data Tools Data Storage 98

DevOps.com

APRIL 26, 2020

Artificial intelligence for IT operations (AIOps) is a fairly new catch-all term for any multi-layered development initiative involving big data analytics, machine learning and/or AI to automate and solve business and IT problems. This is a dramatic shift in […].

Artificial Inteligence 130

Artificial Inteligence Games Artificial Intelligence Machine Learning 130

Perficient

NOVEMBER 17, 2024

It is designed to store all types of data (structured, semi-structured, unstructured) and support diverse workloads, including business intelligence, real-time analytics, machine learning and artificial intelligence. Supports All Data Types Handles structured, semi-structured, and unstructured data in a single platform.

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

CIO

OCTOBER 13, 2023

According to the survey, 28% of respondents said they have hired data scientists to support generative AI, while 30% said they have plans to hire candidates. This role is responsible for training, developing, deploying, scheduling, monitoring, and improving scalable machine learning solutions in the enterprise.

Company 215

Company Generative AI Machine Learning Artificial Inteligence 215

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

AUGUST 26, 2024

As a country rapidly transforming into a digital economy hub, Thailand is taking the lead in cloud technology and the development of its digital infrastructure in the region. They can also learn new tasks quickly with its machine learning capabilities. 1 in the Thai hybrid cloud market.

Cloud 161

Cloud Artificial Inteligence Data Center Construction 161

CIO

JANUARY 20, 2023

Look at Enterprise Infrastructure An IDC survey [1] of more than 2,000 business leaders found a growing realization that AI needs to reside on purpose-built infrastructure to be able to deliver real value. In fact, respondents cited the lack of proper infrastructure as a primary culprit for failed AI projects.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

AWS Machine Learning - AI

OCTOBER 31, 2024

This flexibility empowers you to tailor the assistant’s capabilities to their specific requirements, providing a seamless integration with your existing AWS infrastructure and data sources. Furthermore, we showcased how to customize the application to implement tailored business logic that can use other AWS services.

Generative AI 123

Generative AI Lambda Applications AWS 123

TechCrunch

NOVEMBER 28, 2022

The extension will give the startup a multiyear runway and will be used for hiring, infrastructure and merger and acquisitions opportunities. Co-founder and CEO Raunak Mehta told TechCrunch that Igloo decided to raise a Series B extension because of investor interest after the first tranche of funds.

Insurance 236

Insurance Artificial Inteligence Policies Artificial Intelligence 236

TechCrunch

APRIL 11, 2023

CEO Tatiana Krupenya says that it’s an administrative tool that allows anyone to access data from a variety of sources. So actually anyone who needs to work with data can use DBeaver,” she told TechCrunch. Paying customers include IBM, Samsung and Moody’s (and some other big names she couldn’t share publicly).

Open Source 203

Open Source Database Administration Machine Learning Artificial Inteligence 203

TechCrunch

NOVEMBER 14, 2022

However, UK startup Quix says it is a platform for developing event-driven applications with Python , which can have uses in, say, physics-based data modelling and anomaly detection in machine learning. Real-time data startup Quix raises a $12.9M It’s now raised a £11m / $12.9m

Data 208

Data B2B Machine Learning Artificial Inteligence 208

CIO

SEPTEMBER 9, 2022

AI is expensive, as workloads are generally hosted in the cloud, but the sheer amount of data involved in building an effective AI routine result in big data costs. AI also requires substantial IT skills, and Australia faces a deepening skills crisis around this. This is where the AI Test Drive solution comes in.

Innovation 217

Innovation Artificial Inteligence Artificial Intelligence Testing 217

Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC. As a system architect, how would you design a storage infrastructure to meet these requirements in a single storage platform? Adriana Andronescu.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98