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 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Machine learning and other artificial intelligence applications add even more complexity.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

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

O'Reilly Media - Data

JUNE 5, 2018

Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. However, in talking with CEOs looking to implement machine learning in their organizations, there seems to be a common problem in moving machine learning from science to production.

Artificial Inteligence 166

Artificial Inteligence Machine Learning Software Review Weak Development Team 166

d2iq

FEBRUARY 19, 2021

Except in many enterprises. 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.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

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

TechCrunch

AUGUST 19, 2021

As tempting as it may be to think of a future where there is a machine learning model for every business process, we do not need to tread that far right now. Data can enhance the operations of virtually any component within the organizational structure of any business. How to ensure data quality in the era of Big Data.

Company 314

Company Data Artificial Inteligence Machine Learning 314

O'Reilly Media - Data

AUGUST 16, 2018

The deployment of big data tools is being held back by the lack of standards in a number of growth areas. Technologies for streaming, storing, and querying big data have matured to the point where the computer industry can usefully establish standards. The main standard with some applicability to big data is ANSI SQL.

Big Data 126

Big Data Data Storage Azure 126

CIO

MAY 16, 2024

Chief Information and Digital Officer Satyan Parameswaran, who spent decades at UPS where he most recently served as president of IT, was handpicked to enhance the 33-year-old company’s digital infrastructure and operations and apply his advanced logistics experience to deliver elevated business results.

Artificial Inteligence 251

Artificial Inteligence IoT Transportation Analytics 251

Agile Engine

FEBRUARY 20, 2019

2018 was the second consecutive year when Gartner published an obituary of Big Data. No one, including Gartner, thinks Big Data is dead. Au contraire, Big Data has grown so ubiquitous it became “just data”, argue the authors of the obituaries. Trend 1: From Big Data to “Just Data”.

Big Data 71

Big Data Google Cloud Data Azure 71

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 85

Big Data Technology Tools Cloud 85

CIO

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. report they have established a data culture 26.5% report they have a data-driven organization 39.7%

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

TechCrunch

NOVEMBER 9, 2021

valuation for its big data management platform. Collibra was spun out of Vrije Universiteit in Belgium in 2008 and today it works with more than 500 enterprises and other large organizations like AWS, Google Cloud, Snowflake and Tableau. There is a ‘Renaissance’ around data and fueling artificial intelligence models,” he added.

Artificial Inteligence 194

Artificial Inteligence Company Data Artificial Intelligence 194

Mobilunity

AUGUST 3, 2021

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. While Big Data has come far, its use is still growing and being explored.

Big Data 52

Big Data Data Engineering Engineering Data 52

TechCrunch

NOVEMBER 4, 2021

Enter Sama , a company providing high-quality training data that powers AI technology applications. CEO Wendy Gonzalez said the company is developing the first end-to-end AI tool for training data through machine learning. How to ensure data quality in the era of big data.

Artificial Inteligence 242

Artificial Inteligence Training Machine Learning Data 242

CIO

JANUARY 18, 2023

IT operations staff have the ability to both perform ongoing monitoring tasks, and an understanding of the organization’s IT infrastructure and processes. A role to separate server trusted connectivity could be an existing enterprise architect or Linux/Windows system administrator.

Technical Review 299

Technical Review Systems Review Systems Administration SCRUM 299

Cloudera

OCTOBER 5, 2020

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. This exciting initiative is built on our shared vision to make data-driven decision-making a reality for every business. Compared to previous CPU-based architectures, CDP 7.1

Enterprise 93

Enterprise Cloud Data Machine Learning 93

TechCrunch

APRIL 11, 2023

The open source product proved so popular that he launched a company to support it in 2017, and began building a commercial product for users with enterprise requirements. CEO Tatiana Krupenya says that it’s an administrative tool that allows anyone to access data from a variety of sources.

Open Source 203

Open Source Database Administration Machine Learning Artificial Inteligence 203

Newgen Software

JUNE 5, 2024

In today’s rapidly evolving business landscape, establishing robust GenAI and machine learning capabilities is of the utmost importance, especially for enterprises managing substantial data volumes. Enterprise-wide Collaboration Tereza collaborates with several stakeholders to build this solution.

Banking 52

Banking Machine Learning Artificial Inteligence Generative AI 52

CTOvision

MAY 1, 2014

Senior Software Engineer – Big Data. IO is the global leader in software-defined data centers. IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

CIO

JULY 26, 2023

We made a commitment to be truly cloud native and build an architecture that wasn’t burdened by any legacy infrastructure,” says Cox. And the crew is using AWS SageMaker machine learning (ML) to give its agents the best local leads and prospective buyers. Data Management, Digital Transformation, Machine Learning

Real Estate 246

Real Estate Data Generative AI Machine Learning 246

Hu's Place - HitachiVantara

JUNE 11, 2019

The global big data market is expected to grow at a CAGR of 22.4% Data analytics is expected to be the key driver for this market. However, the stocks of big data analytics vendors have been tanking in a way that is reminiscent of the dot com bust. So, what is happening?

Big Data 63

Big Data Analytics Cloud Data 63

Cloudera

DECEMBER 14, 2021

But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. The 2021 Data Impact Awards aim to honor organizations who have shown exemplary work in this area. . For this, the RTA transformed its data ingestion and management processes. .

Artificial Inteligence 111

Artificial Inteligence Transportation Machine Learning Telecommunications 111

Trigent

APRIL 14, 2022

Here, we want to talk about how the workplace has changed forever: especially the distributed enterprise. . To be fair, the distributed enterprise is not a new concept at all. How will you make the Distributed Enterprise future-ready? . The data was being processed remotely by a cloud server, and response time was slow.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

CTOvision

DECEMBER 21, 2013

By Bob Gourley If you are an analyst or executive or architect engaged in the analysis of big data, this is a “must attend” event. Registration is now open for the third annual Federal Big Data Apache Hadoop Forum! 6, as leaders from government and industry convene to share Big Data best practices.

Big Data 113

Big Data CTO Data Government 113

TechCrunch

AUGUST 2, 2022

Can AI automate enterprise decision-making? “Each of these approaches has merit, but they are a far cry from the full promise of AI: truly intelligent machines that operate autonomously, on our behalf, to elevate human potential.” Image Credits: Arena. “The pandemic was actually a reaffirming moment for us.

Analytics 207

Analytics Big Data Automotive Enterprise 207

OTS Solutions

JULY 18, 2023

In today’s digital age, the success of any enterprise is increasingly dependent on its ability to deliver high-quality software products and services quickly and efficiently. To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

CIO

SEPTEMBER 8, 2022

Machine learning (ML) is a commonly used term across nearly every sector of IT today. And while ML has frequently been used to make sense of big data—to improve business performance and processes and help make predictions—it has also proven priceless in other applications, including cybersecurity.

Machine Learning 363

Machine Learning Artificial Inteligence CTO Malware 363

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

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

AWS Machine Learning - AI

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

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 131

Artificial Inteligence Games Artificial Intelligence Machine Learning 131

OTS Solutions

JULY 18, 2023

In today’s digital age, the success of any enterprise is increasingly dependent on its ability to deliver high-quality software products and services quickly and efficiently. To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

KitelyTech

FEBRUARY 15, 2023

Here is a comprehensive overview of the three cloud platforms , highlighting their benefits and drawbacks, so you can decide which is best for your particular enterprise. Cloud computing is the process of storing and accessing data over the internet, rather than a computer’s hard drive. What Exactly is Cloud Computing?

Google Cloud 52

Google Cloud Azure AWS Cloud 52

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

CIO

JUNE 7, 2023

This data in turn is used to train and serve machine learning models. These companies act on this data in the moment, serving millions of customers in real time. Let’s take a look at why Cassandra is the database of choice for organizations building enterprise-scale, real-time AI applications.

Organization 130

Organization Artificial Inteligence Open Source Architecture 130