CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 325

Analytics Data Engineering Machine Learning Artificial Inteligence 325

O'Reilly Media - Ideas

MARCH 19, 2020

Sustained strength in unsupervised learning, neural networks, reinforcement learning, etc., Aggregating artificial intelligence and machine learning topics accounts for nearly 5% of all usage activity on the platform, a touch less than, and growing 50% faster than, the well-established “data science” topic (see Figure 2). Figure 2.

Artificial Inteligence 113

Artificial Inteligence Trends Artificial Intelligence Machine Learning 113

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

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. Within the data topic, however, ML+AI has gone from 22% of all usage to 26%.

Technical Review 138

Technical Review Microservices Data Engineering Architecture 138

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What data mesh IS.

Architecture 52

Architecture Data Analytics Data Engineering 52

Coforge

AUGUST 31, 2020

A deep understanding of the legacy and potentially viable digital systems is crucial to establish a sustainable architecture to work upon. Mapping the customer journeys must be the elementary step followed by creating interdisciplinary teams to facilitate faster decision-making.

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

Cloudera

FEBRUARY 15, 2024

Risk management and governance: Regulators are increasingly focusing on risk governance, risk sustainability, and the detection, mitigation, tracking, and remediation of threat actors. Seeing the future in a modern data architecture The key to successfully navigating these challenges lies in the adoption of a modern data architecture.

Insurance 82

Insurance Compliance Technical Review Banking 82

InfoQ Culture Methods

JANUARY 13, 2023

2022 was another year of significant technological innovations and trends in the software industry and communities. The InfoQ podcast co-hosts met last month to discuss the major trends from 2022, and what to watch in 2023. This article is a summary of the 2022 software trends podcast.

Trends 116

Trends Software Report Innovation 116

Apiumhub

APRIL 1, 2021

It will show you how to treat data as a business asset that requires careful investment if you’re to gain real value. Designing data-intensive applications by Martin Kleppmann. This book helps understand the architecture of today’s data systems and how they can be fit into applications that are data-driven and data-intensive.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

Cloudera

APRIL 13, 2021

And while you’d be forgiven for thinking that it might sound too good to be true, operational ML is , in fact, achievable and sustainable. Your data scientists will want a platform and tools that give them practical access to data, compute resources, and libraries. It’s a pie-in-the-sky statement that sounds great, right?

Machine Learning 97

Machine Learning Artificial Inteligence Enterprise eBook 97

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. An additional 7% are data engineers.

Weak Development Team 125

Weak Development Team Data Technical Review Survey 125

Apiumhub

APRIL 5, 2022

With over 1000 practical case studies presented on the past 6 editions and with new geo events in the MEA and the APAC region, the event is a worldwide movement, ushering the community of data, analytics and AI practitioners across functions, companies, industries, sectors, countries and regions to collaborate, benchmark, share and innovate.

Innovation 52

Innovation Data Artificial Inteligence Case Study 52

Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads.

Strategy 94

Strategy Data Technical Review Weak Development Team 94

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

Altexsoft

JUNE 6, 2019

Having a huge team of customer-facing agents with the ability to interact on the fly is not sustainable or scalable. Visual search engines use artificial neural networks (ANN) – computing systems which architecture was inspired by the way human brains work. The opportunity to quickly find a product, get basic information (i.e.,

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

Netflix Tech

MAY 26, 2020

As with any sustainable engineering design, focusing on simplicity is very important. Summary Providing Network Insight into the Cloud Network Infrastructure using VPC Flow Logs at hyper scale is made possible with the Sqooby architecture.

Network 60

Network IPv6 AWS Infrastructure 60

Daniel Bryant

SEPTEMBER 13, 2019

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven?—?in

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

O'Reilly Media - Ideas

JUNE 19, 2019

In previous posts, we’ve outlined the foundational technologies needed to sustain machine learning within an organization, and there are early signs that tools for model development and model governance are beginning to gain users. Ameet Talwalkar: “Random search and reproducibility for neural architecture search”.

Government 79

Government Artificial Inteligence Machine Learning Testing 79

Altexsoft

NOVEMBER 9, 2021

In addition to these main groups of procurement KPIs, there are also such categories as employee-related KPIs and sustainability metrics. Traditionally, analytics is associated with business intelligence and data visualization that are focused on studying past events and current processes. Extract data. Consolidate data.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Cloudera

OCTOBER 25, 2022

“They combine the best of both worlds: flexibility, cost effectiveness of data lakes and performance, and reliability of data warehouses.”. It allows users to rapidly ingest data and run self-service analytics and machine learning. Conclusion: Comprehensive data lakehouse security is critical .

Cloud 52

Cloud Data Firewall AWS 52

O'Reilly Media - Ideas

MARCH 2, 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. Within the data topic, however, ML+AI has gone from 22% of all usage to 26%.

Agile 21

Agile Artificial Inteligence Weak Development Team SCRUM 21

Altexsoft

OCTOBER 3, 2019

The ministry also started using workforce planning and analytics in such sectors as renewable energy and sustainability. We’ll tell how to establish and implement HR data collection and analysis with a step-by-step plan. Data engineer builds interfaces and infrastructure to enable access to data.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Cloudera

JANUARY 11, 2021

Cloudera Data Warehouse (CDW) is a cloud service and an integral part of the newly released Cloudera Data Platform (CDP). Key features are: Highly scalable and performant open-source engines for BI and data warehousing workloads. Modern architecture. Elastic architecture. Cloudera Data Platform Architecture.

Data 61

Data Pharmaceuticals Machine Learning Artificial Inteligence 61

UruIT

APRIL 27, 2020

Different tools such as SAS Visual Analytics and SAS Visual Data Miner & Machine Learning , offers a great option for machine learning development, visual data mining and visual statistics. We want to highlight SAS’s cloud-ready architecture, making analytics more accessible to a broader range of users. . MathWork .

Artificial Inteligence 78

Artificial Inteligence Machine Learning Azure Software Review 78

TIBCO - Connected Intelligence

SEPTEMBER 29, 2021

Allan Newburn, VP of Data Architecture and Integration, and Nikitas T. Gogos, Global AVP of Data Architecture, from customer GM Financial, sat down with TIBCO SVP and General Manager of Analytics, Mark Palmer, to share their journey partnering with TIBCO. We have a much more agile process now,” Gogos added.

Data 49

Data Artificial Inteligence Energy Artificial Intelligence 49

Capgemini

MARCH 31, 2024

The evolution of microservices architecture lays the foundation for Generative Software Engineering. Just as object-oriented languages and cloud architectures opened new horizons for software development, Generative AI will pave the way for a future where software not only serves but anticipates and evolves with human needs.

Software Engineering 52

Software Engineering Engineering Software Generative AI 52

UruIT

JULY 23, 2019

By offering different tools, such as SAS Visual Analytics and SAS Visual Data Miner & Machine Learning , this is a great option for machine learning development, visual data mining and visual statistics. We wanted to highlight SAS’s cloud-ready architecture that makes analytics more accessible to a broad range of users.

Artificial Inteligence 81

Artificial Inteligence Machine Learning Azure Software Review 81