CIO

MARCH 21, 2022

Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. 11 big data and analytics certifications that will pay off. What is a data scientist? What does a data scientist do?

Analytics 205

Analytics Data Technical Review Analysis 205

TechCrunch

OCTOBER 14, 2021

That’s obviously not a huge round, but the investors will likely make you perk up a bit: Madrona Venture Group, Picus Capital, TA Ventures and angels like GitHub CEO Nat Friedman and Microsoft Azure CTO Mark Russinovich. After all, there’s a plethora of startups out there that want to democratize AI.

Applications 243

Applications Development Azure Business Intelligence 243

CIO

OCTOBER 19, 2023

Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). You can also use Frontline’s Analytic Solver to turn Excel analytics models into custom Power BI visualizations without having to design the custom visual in JavaScript.

Artificial Inteligence 190

Artificial Inteligence Azure Machine Learning Metrics 190

John Snow Labs

FEBRUARY 12, 2025

John Snow Labs’ Medical Language Models library is an excellent choice for leveraging the power of large language models (LLM) and natural language processing (NLP) in Azure Fabric due to its seamless integration, scalability, and state-of-the-art accuracy on medical tasks.

Artificial Inteligence 52

Artificial Inteligence Azure Healthcare Software Review 52

CIO

AUGUST 9, 2024

Jon Pruitt, director of IT at Hartsfield-Jackson Atlanta International Airport, and his team crafted a visual business intelligence dashboard for a top executive in its Emergency Response Team to provide key metrics at a glance, including weather status, terminal occupancy, concessions operations, and parking capacity.

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

Altexsoft

MAY 20, 2020

Source: IoT Analytics. Day by day, the IoT sees wider adoption, opening new opportunities and driving more value to both businesses and their clients. Source: IoT Analytics. Microsoft Azure IoT. AWS IoT Analytics. IoT Analytics has templates to build predictive maintenance models. billion to 21.5

IoT 141

IoT Azure AWS Transportation 141

The Citus Data

MARCH 3, 2020

Interview with the Postgres committers who have joined the Postgres team at Microsoft by Sudhakar Sannakkayala (Partner Director, Azure Data) and Ozgun Erdogan (Principal, Azure Data)— cross-posted from the Azure Postgres blog. Ozgun: What are some of the key use case scenarios you’ve seen in PostgreSQL?

Azure 23

Azure Open Source Systems Review Software Review 23

CIO

AUGUST 18, 2022

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. We leveraged the lakehouse to understand the moment,” the CIO says.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

TechCrunch

FEBRUARY 17, 2021

TigerGraph , a well-funded enterprise startup that provides a graph database and analytics platform, today announced that it has raised a $105 million Series C funding round. “This funding will allow us to expand our offering and bring it to many more markets, enabling more customers to realize the benefits of graph analytics and AI.”

Enterprise 217

Enterprise Artificial Inteligence Machine Learning Analytics 217

CIO

APRIL 22, 2022

Data science vs. data analytics. While closely related, data analytics is a component of data science, used to understand what an organization’s data looks like. Data science takes the output of analytics to solve problems. The difference between data analytics and data science is also one of timescale. Data science jobs.

Data 210

Data Machine Learning Artificial Inteligence Analytics 210

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

CIO

MAY 14, 2024

Así, a través de tecnologías de Microsoft Azure AI , como Azure Open AI Service, Form Recognizer y Cognitive Search, el equipo de Business Technology de Grupo Bimbo desarrolló en dos semanas una solución que integra un copiloto donde el usuario puede realizar consultas sobre las políticas de la empresa.

Artificial Inteligence 157

Artificial Inteligence Azure Artificial Intelligence Generative AI 157

Altexsoft

APRIL 16, 2021

Later, this data can be: modified to maintain the relevance of what was stored, used by business applications to perform its functions, for example check product availability, etc. used for analytical purposes to understand how our business is running. What is OLAP: Online Analytical Processing. Analytical interface.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

CIO

DECEMBER 19, 2024

common projects for climate tech professionals are related to EV infrastructure (solar, wind, and nuclear projects), smart grids, and corporate carbon tracking analytics which is fueled in a large part by government subsidies and funding, Breckenridge explains. In the U.S.,

Artificial Inteligence 78

Artificial Inteligence Sustainability Energy IoT 78

Coforge

JULY 28, 2021

The Benefits of Integrating SAP Data With Azure Synapse Analytics. For modern enterprises in 2021, it’s a challenge to find a cost-efficient, feasible out of box integration with non-SAP data for analytics. Breaking Down Data Silos With Azure Synapse. The Importance of a Cloud-Based, SQL Analytics System.

Azure 52

Azure Analytics Data Artificial Inteligence 52

Data Virtualization

JANUARY 19, 2023

Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Whether or not they begin with on-premises systems, such modernization efforts often involve the implementation of hybrid configurations.

Azure 52

Azure Architecture Analytics Data 52

Sunflower Lab

OCTOBER 2, 2023

Choosing the Ultimate Data Analytics Tool As a digital service providing enterprise, we constantly find ways to help a business through technology, and with this due process we find new innovative ideas and tools which are yet to be implemented by many of the enterprises in their system.

Azure 40

Azure Analytics UI/UX Software Review 40

Altexsoft

SEPTEMBER 19, 2019

That’s what business intelligence (BI) is about. What is business intelligence and what tools does it need? Business intelligence is a process of accessing, collecting, transforming, and analyzing data to reveal knowledge about company performance. Flow of data and ETL. You aim to build custom BI.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

InfoWorld

FEBRUARY 9, 2024

Microsoft Fabric is an end-to-end, software-as-a-service (SaaS) platform for data analytics. It is built around a data lake called OneLake, and brings together new and existing components from Microsoft Power BI, Azure Synapse, and Azure Data Factory into a single integrated environment.

Big Data 78

Big Data Data Azure Google Cloud 78

CIO

JULY 24, 2023

At the core of LaLiga’s transformation is a data analysis platform called Mediacoach, which uses Azure infrastructure to collect, interpret, and showcase insights from approximately 3.5 These fan engagement, competition management, and advanced performance analytics capabilities are part of LaLiga Tech’s offerings.

Artificial Inteligence 147

Artificial Inteligence Sport Artificial Intelligence Coaching 147

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%). Increasingly, businesses are realizing they need to invest in skills development to leverage emerging technologies, agrees SPR’s Mead.

Budget 218

Budget Artificial Inteligence Technical Review VR 218

Cloudera

JANUARY 21, 2021

But – you need those mission critical analytics services, and you need them now! . Waiting in line in the Central IT queue and risk getting behind in your business and losing out to competition as a result? In their case, they had access to 3rd party data stored in Azure, but which was legally restricted to stay in Azure.

Analytics 94

Analytics Storage Technical Review Virtualization 94

CTOvision

FEBRUARY 20, 2015

For more information on the Informatica''s Intelligent Data Platform, read about what it is like in action on this page ! Informatica provides many other capabilities worth note, including cloud integration and data management capabilities that work with providers like Microsoft Azure and Amazon Web Services (including Redshift).

Data 105

Data Company Innovation Big Data 105

O'Reilly Media - Ideas

JANUARY 29, 2019

In other words, could we see a roadmap for transitioning from legacy cases (perhaps some business intelligence) toward data science practices, and from there into the tooling required for more substantial AI adoption? We found that users of AWS, Microsoft Azure, and Google Cloud Platform (GCP) tended to use multiple cloud providers.

Sustainability 108

Sustainability Company Machine Learning Artificial Inteligence 108

Datavail

JUNE 30, 2021

Business intelligence and analytics are often the most complex area of a company’s IT environment. The Case for a Cloud-Based Analytics Solution. Analytics solutions of the past are reactive and do not provide real-time information. On-Premises vs. Cloud Analytics. Oracle Analytics Cloud.

Analytics 52

Analytics Cloud Business Intelligence Infrastructure 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. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Temporal data and time-series analytics. Graph technologies and analytics.

Big Data 108

Big Data Technology Tools Cloud 108

Altexsoft

AUGUST 31, 2020

Receiving patient or operation’s information, the next big step for the healthcare industry are data analytics applied to various processes in patient treatment, equipment maintenance, and diagnostics. Collecting data and making sense of it to predict health conditions of individuals is a primary task of healthcare analytics.

Healthcare 72

Healthcare Analytics Examples Data 72

Altexsoft

JANUARY 14, 2021

Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies. Summarized touches upon the fact the data is used for data analytics. Data warehouse architecture. Architecture.

Backup 115

Backup Azure Software Review Architecture 115

Perficient

APRIL 2, 2023

Alteryx: A Comprehensive Overview Alteryx is a leading data analytics platform that helps businesses and organizations of all sizes to turn raw data into actionable insights. This comprehensive platform includes data preparation, blending, and analytics capabilities, along with tools for data governance, collaboration, and automation.

Analytics 64

Analytics Artificial Inteligence Data Artificial Intelligence 64

Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Cloudera

AUGUST 3, 2018

Learn more about Customer 360 Powered by Zero2Hero by visiting the Azure Marketplace , or the Cloudera Solutions Gallery. The post Azure Marketplace features Cloudera Customer 360 offering appeared first on Cloudera Blog. A recently-launched solution serves as an example of the power of partnerships.

Azure 40

Azure Analytics Machine Learning Artificial Inteligence 40

Apps Associates

MAY 18, 2021

Performing analytics on the data was possible but took a long time and was mostly done in batch (using map reduce routines written in Java). However, from an analytics perspective there was no integration between the data warehouse platform and the data lake. Azure Synapse. Related Resources: Snowflake. Google Big Query.

Cloud 98

Cloud Data Azure Analytics 98

Datavail

AUGUST 6, 2020

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns.

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

Perficient

JUNE 30, 2023

In 2019, there were enhancements in Power BI where more powerful AI features were included, like AI visuals, Text analytics, the inclusion of Azure machine learning models, Image recognition, which plays an important role in advanced analytics, quicker insights from data models, an automatic Q&A system, and more.

Machine Learning 84

Machine Learning Artificial Inteligence Azure Analytics 84

Altexsoft

FEBRUARY 26, 2020

Choosing analytical software is no less challenging than data analysis itself. The market of business intelligence (BI) does give you a choice. When it comes to actually defining what’s the best fit for your analytical purposes, offers aren’t that different. But the right choice is never in just one instrument.

Tools 116

Tools Analytics Mobile Enterprise 116

Datavail

JUNE 15, 2023

The Microsoft Fabric announcement at Microsoft Build 2023 has caused quite a stir in the data and analytics world. Microsoft Fabric is an all-in-one analytics solution that brings together seven Azure services on a shared SaaS foundation, in a unified experience combined with AI. What is Microsoft Fabric?

Azure 52

Azure Analytics Storage Generative AI 52

Teradata

AUGUST 13, 2020

Vantage on Azure provides enterprise-grade real-time business intelligence through a comprehensive solution that combines analytics, data lakes, & data warehouse technologies.

Data 52

Data Azure Business Intelligence Cloud 52