Cloudera

OCTOBER 30, 2023

Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives. The traditional “lift and shift” approach is not appropriate when building cost-effective cloud architectures. Why FinOps?

Analytics 76

Analytics Cloud Technical Review Resources 76

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

Mentormate

MARCH 21, 2018

With such sophisticated tools, there is the temptation to focus solely on what they can deliver — better business intelligence and analytics. But what’s needed to deliver these things — clean data — is often an afterthought and a company’s first mistake in pursuing optimal business intelligence and analytics.

Business Intelligence 49

Business Intelligence Analytics Data Technical Review 49

CIO

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

ChatGPT 130

ChatGPT Government Artificial Inteligence Business Intelligence 130

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Fifty-two percent of organizations plan to increase or maintain their IT spending this year, according to Enterprise Strategy Group.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Perficient

DECEMBER 13, 2023

Sitting snugly between your upstream data warehouses and downstream business applications, this innovative layer fundamentally transforms how metrics are handled. It’s a pivotal component in a headless BI architecture, enabling metrics to be defined once and then seamlessly shared across multiple tools through APIs.

Metrics 52

Metrics Artificial Inteligence Artificial Intelligence Business Intelligence 52

Mentormate

NOVEMBER 15, 2021

This acquisition answers the growing demand from the company’s enterprise clients for capabilities such as data architecture, big data processing, performance tuning, business intelligence, machine learning, automation, and SQL development. With the expertise of the Data Cloud Solutions Ltd.

Artificial Inteligence 105

Artificial Inteligence Cloud Data Artificial Intelligence 105

TechCrunch

MAY 3, 2022

Databases are growing at an exponential rate these days, and so when it comes to real-time data observability, organizations are often fighting a losing battle if they try to run analytics or any observability process in a centralized way. “Our special sauce is in this distributed mesh network of agents,” Unlu said.

Data 192

Data Artificial Inteligence Lambda Analytics 192

CIO

MARCH 24, 2023

Meant specifically to support self-service analytics, TrustCheck attaches guidelines and rules to data assets. IBM Data Governance IBM Data Governance leverages machine learning to collect and curate data assets. Alation Alation is an enterprise data catalog that automatically indexes data by source.

Government 357

Government Data Technical Review Policies 357

Cloudera

OCTOBER 4, 2023

Without real-time analytics we won’t catch the threats until after they’ve caused significant damage. We can also benefit from real-time stock ticker analytics, and other highly monetizable data assets. By capitalizing on the business value of fast-moving and real-time analytics, we can do some game changing things.

Analytics 86

Analytics Machine Learning Artificial Inteligence Telecommunications 86

Perficient

DECEMBER 7, 2023

Getting started in the “Headless BI” (Business Intelligence) world can be an exciting and transformative journey for any organization. These range from cloud-based solutions like AWS, Google Cloud, and Azure to specific BI tools like Tableau, Power BI, Pyramid Analytics, and Looker.

How To 52

How To Scalability Analytics Google Cloud 52

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data 91

Data Analytics Open Source Architecture 91

O'Reilly Media - Data

MARCH 7, 2018

Watch highlights covering machine learning, business intelligence, data privacy, and more. Hilary Mason looks at practical applications for intelligent machines and outlines the tools and processes needed to implement machine learning successfully. Privacy in the age of machine learning.

Conference 110

Conference Machine Learning Artificial Inteligence Data 110

Datavail

JUNE 19, 2019

Business intelligence and analytics may quite possibly be the most complex segment of a company’s IT environment. Your enterprise data is meant to be kept in a living, breathing information store that can meaningfully interface with business users from day to day. What steps can be taken to make that journey?

Analytics 40

Analytics Cloud Artificial Inteligence Architecture 40

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 86

Big Data Technology Tools Cloud 86

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

Apiumhub

FEBRUARY 25, 2021

Data science is a multidisciplinary blend of data inference, algorithmm development, and technology in order to solve analytically complex problems, extracting knowledge and insights from many structural and unstructured data. Machine Learning. Machine learning is the backbone of data science. What is Data Science?

Tools 72

Tools Data Machine Learning Artificial Inteligence 72

Trigent

JUNE 20, 2022

For example, McDonald’s collaborated with data engineering firms to automate verbal order intake via machine learning and natural language processing (NLP). The business need was to shorten wait times, improve order accuracy and free up restaurant employees to focus on enhancing one-to-one service.

Data Engineering 52

Data Engineering Engineering Data Strategy 52

Apiumhub

APRIL 6, 2021

You will often learn some new concepts and actionable tips to enhance your data science and machine learning skills. The site covers a wide array of data science topics regarding analytics, technology, tools, data visualization, code, and job opportunities. In this blog you may find key findings and explanations.

Technical Review 52

Technical Review Data Artificial Inteligence Software Review 52

d2iq

JUNE 23, 2022

Like the AWS Summits in Atlanta and Washington DC, the big trends AWS is highlighting at the New York Summit are artificial intelligence (AI), machine learning (ML), analytics, business intelligence, modern applications based on containers, and the Internet of Things (IoT).These

AWS 78

AWS Artificial Inteligence DevOps Guidelines 78

Cloudera

AUGUST 28, 2018

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Enterprise Machine Learning. TECHNICAL IMPACT.

Meeting 65

Meeting Data Technical Review Machine Learning 65

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. .

Software Review 94

Software Review Technical Review Software Development Team Review 94

Apiumhub

MARCH 16, 2021

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

Business Intelligence 118

Business Intelligence Tools Artificial Inteligence Technical Review 118

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. What are streaming or real-time analytics?

Analytics 20

Analytics Data IoT Analysis 20

Exadel

FEBRUARY 27, 2023

Whether you opt for supervised machine learning algorithms that feed off structured data or deep learning networks that independently parse large volumes of unstructured information (like images, PDF documents, and social media posts) you need lots of data to train algorithms capable of solving your business problems.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence How To Technical Review 52

Cloudera

AUGUST 31, 2021

Data warehousing is the backbone of every data driven organization , providing mission critical analytics. Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Are you looking to include log, semi-structured, or sensor data in your analytics?

Data 82

Data Analytics Cloud Technical Review 82

RapidValue

APRIL 20, 2020

Having mentioned about cloud-native DevOps, another trend that deserves all the hype is the implementation of serverless architecture in DevOps. Serverless architecture has been the buzz for a while now owing to the flexibility that comes with it. The Artificial Intelligence Hype. billion in the future. billion in the future.

DevOps 69

DevOps Trends Artificial Inteligence Serverless 69

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

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. ML modeling.

Machine Learning 52

Machine Learning Artificial Inteligence Engineering How To 52

Altexsoft

SEPTEMBER 9, 2022

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. You might find out that it’s not sufficient for your analytical needs. Types of metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

CIO

MARCH 2, 2023

“In general, it’s been straight forward to quantify the business impact of automation initiatives, given they typically have clear before and after business metrics. We’ll also continue with advancements in distribution management, the metering ecosystem, and consumer data analytics.” million consumers.

Artificial Inteligence 357

Artificial Inteligence Pharmaceuticals Analytics Artificial Intelligence 357

CIO

AUGUST 18, 2022

Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. With the advent of big data, a second system of insight, the data lake, appeared to serve up artificial intelligence and machine learning (AI/ML) insights.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

Altexsoft

APRIL 23, 2019

And these data channels serve as a pair of eyes for executives, supplying them with the analytical information of what is going on with a business and the market. The answer is business intelligence. We’ve already discussed a machine learning strategy. What is business intelligence?

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

Cloudera

DECEMBER 10, 2020

Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. Appealing directly to end-users in the Lines of Business (LOBs), these solutions can dramatically shorten time to value, lower administrative burdens, and promise continuous agility in response to changing business demands.

Data 98

Data Technical Review Storage Systems Review 98

CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Artificial Inteligence 279

Artificial Inteligence Data Artificial Intelligence Analytics 279