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 Analytics 52

TechCrunch

FEBRUARY 2, 2022

RudderStack , a platform that focuses on helping businesses build their customer data platforms to improve their analytics and marketing efforts, today announced that it has raised a $56 million Series B round led by Insight Partners, with previous investors Kleiner Perkins and S28 Capital also participating.

Data 204

Data Artificial Inteligence Machine Learning Architecture 204

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

Cloudera

AUGUST 21, 2024

release was named a finalist under the category of Business Intelligence and Data Analytics. Embracing the Open Data Lakehouse The selection of Cloudera’s Open Data Lakehouse signals just how important this platform has become with the rise of artificial intelligence (AI) and generative AI (GenAI) alike.

Innovation 68

Innovation Disaster Recovery Data Artificial Inteligence 68

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Architecture 52

Architecture Data Storage Artificial Inteligence 52

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 82

Analytics Cloud Technical Review Resources 82

CIO

APRIL 4, 2024

“Everyone is running around trying to apply this technology that’s moving so fast, but without business outcomes, there’s no point to it,” says Redmond, CIO at power management systems manufacturer Eaton Corp. “We We need to continue to be mindful of business outcomes and apply use cases that make sense.” asks Srivastava.

Enterprise 336

Enterprise Technical Review Generative AI Artificial Inteligence 336

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

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

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

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

Dell EMC

MAY 28, 2020

About 20 years ago, I started my journey into data warehousing and business analytics. Over all these years, it’s been interesting to see the evolution of big data and data warehousing, driven by the rise of artificial intelligence and widespread adoption of Hadoop. READ MORE.

Big Data 78

Big Data Data Artificial Inteligence Artificial Intelligence 78

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 93

Analytics Artificial Inteligence Machine Learning Telecommunications 93

CIO

JANUARY 12, 2023

1] To get the most from their investments, factories of the future will need to be driven by data and optimized with artificial intelligence (AI). An edge computing architecture can begin to help solve these problems. 2] As with any advancement in technology, edge computing comes with benefits and drawbacks.

Technical Review 189

Technical Review Technology Innovation Data Center 189

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

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

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 97

Data Analytics Open Source Architecture 97

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

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

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 112

Conference Artificial Inteligence Machine Learning Data 112

Cloudera

DECEMBER 1, 2023

Recent Government Initiatives on Public Sector AI Solutions In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively.

Data 113

Data Government Artificial Inteligence Artificial Intelligence 113

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

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.

Data 52

Data Technical Review Artificial Inteligence Software Review 52

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

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence.

Architecture 52

Architecture Cloud Storage Google Cloud 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

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.

DevOps 69

DevOps Trends Artificial Inteligence Serverless 69

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 Artificial Inteligence Machine Learning 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

AWS Machine Learning - AI

AUGUST 8, 2024

Across 180 countries, millions of developers and hundreds of thousands of businesses use Twilio to create personalized experiences for their customers. As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads.

Artificial Inteligence 99

Artificial Inteligence Data Generative AI AWS 99

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.

Data 67

Data Meeting Technical Review Machine Learning 67

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

CIO

AUGUST 8, 2024

The business narrative around generative artificial intelligence (GenAI) has been consumed with real-world use cases. The process would start with an overhaul of large on-premises or on-cloud applications and platforms, focused on migrating everything to the latest tech architecture. To learn more, visit us here.

Generative AI 327

Generative AI Innovation Artificial Inteligence Business Transformation 327

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 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

CIO

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). Nearly every customer has an information architecture that expands beyond SAP. The combination enables SAP to offer a single data management system and advanced analytics for cross-organizational planning.

Artificial Inteligence 323

Artificial Inteligence Generative AI Government Architecture 323

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