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

Cloudera

OCTOBER 6, 2022

In reflecting on these definitions, I particularly like how Gartner highlights legacy modernization as a common component of such initiatives, noting that digital transformation can be more about digitization than transformation. The key here is prioritization, iteration, and execution excellence. Strategies to maximize impact.

Technical Review 85

Technical Review Compliance Machine Learning Artificial Inteligence 85

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. The sudden rise in remote working, a huge influx in data as the world turned digital, not to mention the never-ending list of regulations businesses need to remain compliant with (how many acronyms can you name in full?

Data 98

Data Government Analytics Compliance 98

Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Tenable

DECEMBER 6, 2022

A year ago, the discovery of the Log4Shell vulnerability sent IT and cybersecurity teams scrambling to assess and address their organizations’ exposure to this flaw in the ubiquitous Log4j open source component. . and “Are we ready for the next Log4j-like vulnerability?”. Get full asset visibility.

Policies 97

Policies Software Exercises Organization 97

Sunflower Lab

MARCH 13, 2024

In today’s data-driven world, businesses collect vast amounts of data from various sources throughout the supply chain. Supply chain managers rely on data visualization tools & techniques to gain a comprehensive understanding of operational dynamics, identify trends, and anticipate potential issues.

Transportation 52

Transportation Weak Development Team Metrics Healthcare 52

Tenable

JUNE 10, 2020

Our previous articles detailed the methodology and key findings behind this research, as well as the lifespan of vulnerabilities within a given organization. Figure 2 shows the distribution of remediation data. It is also shown by the overlap in successive levels. The distribution of remediation data.

Organization 101

Organization Research Internet Strategy 101

Coforge

JANUARY 14, 2021

Increasing Importance of Data to insurance industry. Increasing Importance of Data to the insurance industry. Insurance has always been a data-driven industry. However, the bar for gaining a competitive advantage using data as an asset keeps getting raised. Thu, 01/14/2021 - 18:01.

Insurance 52

Insurance Industry Data Analytics 52

Actian

JUNE 10, 2019

2019 is becoming an exciting year for the data management community. While trends are important building blocks about how companies approach their data management today, they are also providing insights into future capabilities to incorporate the individual pieces into a holistic, integrated solution. Data lake reboot.

Trends 40

Trends Data IoT Big Data 40

Kentik

APRIL 12, 2023

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. The DataOps ecosystem comprises several components, including people, processes, and tools.

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 52

Zensar

FEBRUARY 18, 2020

The best yardstick to measure their competitiveness is the ability to analyze the data captured by them directly or indirectly. The sheer breadth of problems that analytics has already solved and promises to solve in the future has driven organizations to invest increasingly in data & analytics initiatives. Data Management.

Architecture 40

Architecture Analytics Sustainability System Architecture 40

Altexsoft

APRIL 13, 2023

Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. Supply chain visibility main components Supply chain visibility is crucial because if you don’t have it, it’s like walking blindfolded. Let’s look at what they say in recent surveys.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

CTOvision

JULY 9, 2014

The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data? The data is too big, moves too fast, or does not fit the structures of your database architectures. and “What is its business value?”.

Big Data 114

Big Data Data CTO Fractional CTO 114

CTOvision

JANUARY 7, 2016

If data analysis is Big Data’s "tip of the spear" when it comes to delivering data-dependent value to customers or clients, we also must address how that spear is shaped, sharpened, aimed, and thrown – and, of course, whether or not it hits its intended target.”. Data sharing. Data standards. Data analysis.

Project Management 62

Project Management Big Data Strategy Data 62

TIBCO - Connected Intelligence

APRIL 17, 2020

Below, we’ll explore several key catalysts for change that organizations of all kinds may face, and illustrate how the six-time World Champion Mercedes-AMG Petronas F1 team has overcome similar business and technical challenges. Material changes can be an influencing factor for organizational success during non-crisis times.

How To 37

How To Healthcare Analytics Sport 37

CIO

NOVEMBER 28, 2023

Making the most of enterprise data is a top concern for IT leaders today. With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides.

Artificial Inteligence 325

Artificial Inteligence Data Games Analysis 325

CIO

AUGUST 12, 2022

The rapid growth left the company highly dependent on fragmented, manual processes and disparate data sources and systems. So, we have a lot of disparate systems across our company — ERPs, CRMs, middleware — but our go-to-market strategy for our customers, you have to make that all invisible for them.”. Catalyzing change.

Machine Learning 264

Machine Learning Artificial Inteligence System AWS 264

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Strategy 114

Strategy Development Data Analytics 114

Robots and Pencils

OCTOBER 8, 2021

Planning your digital transformation strategy for 2022? Therefore, we rounded up a bunch of experts to share their tips on digital transformation to shape your 2022 strategy. Instead, companies need to use technology to advance their business strategy. From a cultural perspective, acceptance of technology equals success.”

Technical Review 136

Technical Review Security Development Team Review Technical Advisors 136

Altexsoft

MARCH 30, 2020

This article discusses available strategies, the benefits of the most advanced — predictive — approach, and resources required to implement it. Maintenance policies: corrective vs preventive vs predictive strategy. the fourth industrial revolution driven by automation, machine learning, real-time data, and interconnectivity.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

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

O'Reilly Media - Ideas

JANUARY 25, 2024

The data used in this report covers January through November in 2022 and 2023. Our data shows that most topics in software architecture and design are down year-over-year. That change is important because event-driven architecture is a tool for designing large systems that have to ingest data from many different streams in real time.

Trends 116

Trends Technical Review Technology Artificial Inteligence 116

Perficient

JANUARY 18, 2023

Data – How much customer data do you have and how easy is it to access? Using customer data responsibly and ensuring the protection of personal data. Studios are used to manage and engage with communication channels by activating customer data. The curve highlights five levels of organisational maturity.

Marketing 69

Marketing Cloud Digital Marketing Advertising 69

Cloudera

FEBRUARY 4, 2019

Late last year, the news of the merger between Hortonworks and Cloudera shook the industry and gave birth to the new Cloudera – the combined company with a focus on being an Enterprise Data Cloud leader and a product offering that spans from edge to AI. So, what happens to HDF in the new Cloudera? What should customers expect?

IoT 73

IoT Open Source Analytics Retail 73

Netflix Tech

JULY 21, 2022

We at Netflix, as a streaming service running on millions of devices, have a tremendous amount of data about device capabilities/characteristics and runtime data in our big data platform. With large data, comes the opportunity to leverage the data for predictive and classification based analysis.

Machine Learning 71

Machine Learning Artificial Inteligence Systems Review Big Data 71

Infinidat

MARCH 10, 2021

With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Altexsoft

OCTOBER 2, 2020

Data is a valuable source that needs management. If your business generates tons of data and you’re looking for ways to organize it for storage and further use, you’re at the right place. Read the article to learn what components data management consists of and how to implement a data management strategy in your business.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. How much data was generated in a minute in 2013 and 2022.

Examples 59

Examples Tools Data Artificial Inteligence 59

Cloudera

JUNE 16, 2022

Every large enterprise organization is attempting to accelerate their digital transformation strategies to engage with their customers in a more personalized, relevant, and dynamic way. The ability to perform analytics on data as it is created and collected (a.k.a. Faster data ingestion: streaming ingestion pipelines.

Data 85

Data Disaster Recovery Analytics Microservices 85