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. S&P Global, for example, is entering its AI 2.0

Technical Advisors 246

Technical Advisors Artificial Inteligence Generative AI How To 246

UruIT

JUNE 8, 2019

Applying AI and machine learning to creating solutions for your business. Over the past couple of years, we’ve committed ourselves to develop UruIT’s Machine Learning capabilities to offer its advantages to our partners. . Leverage data to create UX-enhancing models . Data Collection and Preparation.

Machine Learning 40

Machine Learning Artificial Inteligence Systems Review Software Review 40

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 120

Artificial Inteligence Generative AI Security Applications 120

O'Reilly Media - Ideas

DECEMBER 6, 2018

The O’Reilly Data Show Podcast: Alex Wong on building human-in-the-loop automation solutions for enterprise machine learning. Continue reading Tools for generating deep neural networks with efficient network architectures.

Network 59

Network Architecture Tools Machine Learning 59

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

O'Reilly Media - Ideas

JULY 3, 2019

The O'Reilly Data Show: Ben Lorica chats with Jeff Meyerson of Software Engineering Daily about data engineering, data architecture and infrastructure, and machine learning. Continue reading Tools for machine learning development.

Machine Learning 18

Machine Learning Artificial Inteligence Tools Development 18

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 87

Big Data Technology Tools Cloud 87

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Ingestion zone is where data is collected from various sources and ingested into the data lake. Storage zone is where the raw data is stored in its original format.

Engineering 52

Engineering Data Storage AWS 52

O'Reilly Media - Ideas

JULY 1, 2019

But we are also beginning to see AI and machine learning gain traction in areas like customer service and IT. One area I’m particularly interested in is the application of AI and automation technologies in data science, data engineering, and software development. numpy, TensorFlow, etc.).

Software Development 62

Software Development Artificial Inteligence Software Machine Learning 62

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 67

Course Training Artificial Inteligence Software Review 67

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]. What’s driving this growth? disproportionately involve Python.

Artificial Inteligence 115

Artificial Inteligence Trends Artificial Intelligence Machine Learning 115

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 50

Course Training Artificial Inteligence Software Review 50

O'Reilly Media - Ideas

MAY 1, 2019

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Learn new topics and refine your skills with more than 160 new live online training courses we opened up for May and June on the O'Reilly online learning platform. AI and machine learning.

Course 46

Course Training Artificial Inteligence Machine Learning 46

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. Novices and non-experts have also benefited from easy-to-use, open source libraries for machine learning. had a national surplus of people with data science skills.

Technology 78

Technology Artificial Inteligence Machine Learning Hardware 78

O'Reilly Media - Ideas

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. One mid-sized digital media company we interviewed reported that their Marketing, Advertising, Strategy, and Product teams once wanted to build an AI-driven user traffic forecast tool.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

Big Data 75

Big Data Data Engineering Engineering Data 75

CIO

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity. Data and cloud strategy must align.

Organization 277

Organization Technical Review Data Artificial Inteligence 277

Altexsoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

APRIL 13, 2023

Supply chain control tower architecture: main components, integrations, and data sources As we mentioned, an SCCT is typically comprised of multiple components that handle various aspects of supply chain management. Let’s look closer at what’s there under the hood and list the main components, integrations, and data sources.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

JUNE 6, 2019

Forecasting demand with machine learning in Walmart. Systems that rely on machine learning are capable of analyzing a multitude of data points, finding subtle patterns (indicating changes in customer preferences, behavior, or satisfaction) which can be non-obvious for a human. Source: Lenovo StoryHub.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

O'Reilly Media - Ideas

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Software architecture, infrastructure, and operations are each changing rapidly. Trends in software architecture, infrastructure, and operations.

Technical Review 140

Technical Review Microservices Data Engineering Architecture 140

AWS Machine Learning - AI

FEBRUARY 19, 2024

Dr. Ashwin Swaminathan is a Computer Vision and Machine Learning researcher, engineer, and manager with 12+ years of industry experience and 5+ years of academic research experience. Experienced in data science and data engineering, he is interested in building generative AI powered projects.

Generative AI 97

Generative AI AWS Machine Learning Artificial Inteligence 97

Altexsoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake. Data lake architecture example.

Architecture 52

Architecture Data Storage Machine Learning 52

O'Reilly Media - Ideas

MARCH 6, 2019

Get hands-on training in machine learning, AWS, Kubernetes, Python, Java, and many other topics. Learn new topics and refine your skills with more than 170 new live online training courses we opened up for March and April on the O'Reilly online learning platform. AI and machine learning.

Course 10

Course Artificial Inteligence Training Microservices 10

Altexsoft

SEPTEMBER 9, 2022

Today, such modern data management frameworks as DataOps strongly rely on effective metadata capture and management to bring order into the chaotic data flows. Plus, a data fabric architecture design approach is also based on metadata as one of the main building blocks. An example of social media post metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

Altexsoft

FEBRUARY 8, 2021

To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Comparison between traditional and machine learning approaches to demand forecasting.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Who wants to learn about coding practices when you’re letting GitHub Copilot write your code for you? This has been a strange year.

Trends 118

Trends Technical Review Technology Artificial Inteligence 118

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. How data engineering works in a nutshell.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. Adopting AI can help data quality.

Weak Development Team 128

Weak Development Team Data Technical Review Survey 128

Altexsoft

JANUARY 22, 2020

Such a method requires sending and receiving millions bits of data at any given moment, so that you can play another Black Mirror episode on the go. Similar to a real world stream of water, continuous transition of data received the name streaming , and now it exists in different forms. Batch processing architectural components.

Analytics 20

Analytics Data IoT Analysis 20

BPM

JANUARY 18, 2019

Now we’re seeing AI dominating the conversations (without a lot of actual adoption in the early majority), and RPA creating a lot of buzz, though companies adopting it are starting to realize that scaling an RPA based automation architecture is flawed by design. This requires a new architecture capable of true scale and speed.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

O'Reilly Media - Ideas

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. Why aren’t traditional software tools sufficient?

Government 80

Government Artificial Inteligence Machine Learning Testing 80

Apiumhub

APRIL 5, 2022

Apiumhub has become a Media partner of the Data Innovation Summit – the most influential data, AI and advanced analytics event in the Nordics and beyond. . Focus on Data-Ops, ML Ops, Auto ML, Cloud ML, Fast Data, data pipeline, data lineage, modeling, data flow monitoring, feature extraction and much more.

Innovation 52

Innovation Data Artificial Inteligence Case Study 52

O'Reilly Media - Ideas

MARCH 1, 2023

Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. When you add searches for Go and Golang, the Go language moves from 15th and 16th place up to 5th, just behind machine learning.

Trends 136

Trends Technical Review Technology Software Review 136

Altexsoft

MARCH 31, 2020

These can be data science teams , data analysts, BI engineers, chief product officers , marketers, or any other specialists that rely on data in their work. The simplest illustration for a data pipeline. Data pipeline components. Origin is the point of data entry in a data pipeline.

Data 76

Data Storage Analytics Data Center 76

Altexsoft

NOVEMBER 9, 2021

Traditional statistical methods use mainly internal, historical data to predict trends within relatively stable markets. Meanwhile, machine learning (ML) techniques are capable of processing a wide range of both historical and current data from multiple external and internal sources. Extract data. Consolidate data.

Analytics 52

Analytics Software Review Systems Review Technical Review 52