Mobilunity

DECEMBER 28, 2022

Machine Learning is a rapidly-growing field that is revolutionizing the way businesses work and collect data. The process of machine learning involves teaching computers to learn from data without being explicitly programmed. The Services That Machine Learning Engineers Can Offer.

Machine Learning 52

Machine Learning Artificial Inteligence Engineering How To 52

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

Kentik

APRIL 12, 2023

Network telemetry and DataOps are two concepts that play a critical role in enhancing network visibility. With modern networks’ increasing complexity and scale, it has become essential to collect and analyze data from various sources to gain insights into network performance, security, and availability.

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 52

CIO

SEPTEMBER 18, 2023

To that end, New York-based telecom giant Verizon has developed a platform for migrating millions of customers to its next-generation networks such as 5G, Cloud Connectivity, and Fixed Wireless Access — with minimal disruption. The usage on the network is growing at a very fast pace.”

Telecommunications 243

Telecommunications Network Systems Review Software Review 243

CIO

FEBRUARY 13, 2023

CIOs anticipate an increased focus on cybersecurity (70%), data analysis (55%), data privacy (55%), AI/machine learning (55%), and customer experience (53%). The company is embedding AI into each level of the tech stack it sells to customers, he says. “We

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Altexsoft

JANUARY 27, 2022

In the last decades, many cities adopted intelligent transportation systems (ITS) that support urban transportation network planning and traffic management. Logistics companies. Precise forecasts of road and traffic conditions to avoid congestion are crucial for such companies’ planning and performance. Mapping data.

Machine Learning 69

Machine Learning Artificial Inteligence Transportation Network 69

CIO

JUNE 7, 2022

Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes. In business, predictive analytics uses machine learning, business rules, and algorithms.

Analytics 322

Analytics Data Analysis Business Analytics 322

CIO

JANUARY 10, 2023

Hiring tech talent in 2023 means navigating an uncertain economy, the effects of widespread tech industry layoffs, and candidates who want to work for a company with a mission and workplace culture that align with their values, including diversity, equity, and inclusion. IT leaders say the best approach is to focus on adaptability.

Trends 314

Trends Recruiting Culture Quality Assurance 314

CIO

MARCH 13, 2023

For Andreea Bodnari and Chris Jones, both of whom left Silicon Valley tech companies to work at healthcare organization Optum, the lure was not concern over mass layoffs in big tech, but the prospect of solving real-world problems and the opportunity to work on technologies that make a difference in people’s lives.

Healthcare 246

Healthcare Real Estate Machine Learning Artificial Inteligence 246

CIO

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. Not likely,” Powers says.

Analytics 316

Analytics KPI IoT Azure 316

CIO

OCTOBER 1, 2022

“We do that by leveraging data, AI, and automation with agility and scale across all dimensions of our business, accelerating innovation and increasing productivity in everything we do.”. This, in turn, improves cycle time, reduces network losses, and ensures quality, all while improving operator productivity. The power of people.

Artificial Inteligence 361

Artificial Inteligence Azure IoT Analytics 361

TechCrunch

DECEMBER 10, 2020

As remote work continues to solidify its place as a critical aspect of how businesses exist these days, a startup that has built a platform to help companies source and bring on one specific category of remote employees — engineers — is taking on some more funding to meet demand. Turing is not disclosing its valuation.

Engineering 325

Engineering Artificial Inteligence Lambda Machine Learning 325

Cloudera

FEBRUARY 12, 2024

Most Azure users use hub-spoke network topology. DNS servers are usually deployed in the hub virtual network or an on-prem data center instead of in the Cloudera VNET. Service endpoint is a simpler implementation to allow resources on a private network to access managed services on Azure Cloud.

Azure 52

Azure Firewall Data Engineering Storage 52

Apiumhub

FEBRUARY 6, 2023

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics.

Innovation 82

Innovation Data Machine Learning Artificial Inteligence 82

Agile Engine

SEPTEMBER 29, 2023

Few people know this, but enterprises often employ a machine learning technique that’s instrumental in particle physics experiments at the Large Hadron Collider. Just as the Large Hadron Collider accelerates subatomic particles, machine learning solutions set trillions of data points in motion to solve complex business challenges.

Video 52

Video Machine Learning Artificial Inteligence Automotive 52

N2Growth Blog

JANUARY 10, 2017

Artificial Intelligence (AI) is at a tipping point, leading a watershed shift to digital intelligence by discovering previously unseen patterns, drawing new inferences, and identifying new relationships from vast amounts of data. Companies of scale need to gear up these new jobs and transform their organizations for this future.

Company 86

Company Artificial Inteligence Big Data Machine Learning 86

Xebia

FEBRUARY 25, 2024

This post is based on a tutorial given at EuroPython 2023 in Prague: How to MLOps: Experiment tracking & deployment and a Code Breakfast given at Xebia Data together with Jeroen Overschie. Machine learning operations: what and why MLOps, what the fuzz? MLOps stands for machine learning (ML) operations.

Applications 130

Applications Technical Review Software Review Azure 130

TechCrunch

NOVEMBER 28, 2022

V7 is also starting to see activity with tech and tech-savvy companies looking at how to apply its tech in a wide variety of other applications, including companies building engines to create images out of natural language commands and industrial applications.

Training 240

Training Data Technical Review Artificial Inteligence 240

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

Hacker Earth Developers Blog

JUNE 26, 2019

Data science is an interdisciplinary field that uses a blend of data inference and algorithm development to solve complex analytical problems. An ideal candidate has skills in the 3 fields: mathematics/ statistics/ machine learning/ programming and business/ domain knowledge. . Machine Learning and Programming.

Data 200

Data How To Recruiting Machine Learning 200

O'Reilly Media - Ideas

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. Why AI software development is different.

Product Management 137

Product Management Artificial Inteligence Machine Learning Software Review 137

Altexsoft

FEBRUARY 11, 2023

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

Data 87

Data Data Engineering Big Data Architecture 87

Cloudera

FEBRUARY 25, 2021

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. We work with the largest companies in the world to help tackle their most challenging ML problems. The work of a machine learning model developer is highly complex.

Machine Learning 84

Machine Learning Artificial Inteligence Telecommunications Enterprise 84

Apiumhub

JUNE 22, 2021

In this event you will gain insight into radical ideas that are already proven to provide ROI in some of the most data-driven and innovative companies in the world as well as learn how to accelerate AI-driven transformation. Data Innovation Summit topics. Data Innovation Summit: networking platform.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

Apiumhub

APRIL 8, 2021

Marcus Borba is a Big Data, analytics, and data science consultant and advisor. Borba has been named a top Big Data and data science influencer and expert several times. He has also been named a top influencer in machine learning, artificial intelligence (AI), business intelligence (BI), and digital transformation.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

O'Reilly Media - Ideas

MARCH 19, 2020

We use it as a data source for our annual platform analysis , and we’re using it as the basis for this report, where we take a close look at the most-used and most-searched topics in machine learning (ML) and artificial intelligence (AI) on O’Reilly [1]. that support unsupervised learning. What’s driving this growth?

Artificial Inteligence 113

Artificial Inteligence Trends Artificial Intelligence Machine Learning 113

CTOvision

AUGUST 28, 2018

At Strata Data Conference, learn how data is driving innovation and transforming business. You’ll see top minds in technology from leading companies like Airbnb, Google, WeWork, and Uber discuss latest developments in machine learning, data engineering, real time applications, data governance and strategy, and much more.

Conference 61

Conference Data Machine Learning Artificial Inteligence 61

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

Cloudera

DECEMBER 20, 2022

Across the energy supply chain from generation to consumer, we can see that the trend toward investing in renewable energy has picked up pace as demand has grown for energy companies to actively pursue investments in energies with little or no environmental impact in the quest for decarbonisation. Data efficiency in renewables.

Energy 81

Energy Analytics Data Machine Learning 81

Altexsoft

AUGUST 25, 2021

Natural language processing or NLP is a branch of Artificial Intelligence that gives machines the ability to understand natural human speech. Both in daily life and in business, we deal with massive volumes of unstructured text data : emails, legal documents, product reviews, tweets, etc. So, what is possible with NLP? Spam detection.

Tools 139

Tools Artificial Inteligence Technical Review Systems Review 139

O'Reilly Media - Ideas

JULY 1, 2019

There's a lot of hype surrounding AI, but are companies actually beginning to use AI technologies? We also found that the level of investment depended on how much experience a company already had with AI technologies, with companies further along the maturity curve planning substantially higher investments.

Software Development 62

Software Development Artificial Inteligence Software Machine Learning 62

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

Agile Engine

DECEMBER 27, 2023

Key takeaways Any organization that operates online and collects data can benefit from a data analytics consultancy, from blockchain and IoT, to healthcare and financial services The market for data analytics globally was valued at $112.8 We’ll also examine the latest trends and what the future has in store for data analytics.

Big Data 52

Big Data Analytics Data Analysis 52

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

Hu's Place - HitachiVantara

JANUARY 3, 2019

2018 was a year of maturity for Digital Transformation, and most companies are committed to transforming their companies. Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Hacker Earth Developers Blog

JUNE 26, 2019

Data science is an interdisciplinary field that uses a blend of data inference and algorithm development to solve complex analytical problems. An ideal candidate has skills in the 3 fields: mathematics/ statistics/ machine learning/ programming and business/ domain knowledge. . Machine Learning and Programming.

Data 100

Data How To Recruiting Machine Learning 100

O'Reilly Media - Ideas

DECEMBER 6, 2018

To assess the state of adoption of machine learning (ML) and AI, we recently conducted a survey that garnered more than 11,000 respondents. In many instances, “lack of data” is literally the state of affairs: companies have yet to collect and store the data needed to train the ML models they desire.

Technology 77

Technology Artificial Inteligence Machine Learning Hardware 77