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

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

CIO

MARCH 2, 2023

Despite a tumultuous couple of months, strong user uptake of Tableau business intelligence and MuleSoft data automation and integration software fueled a surprising 14% year-over-year jump in revenue for Salesforce’s fourth quarter. Artificial Intelligence, Business Intelligence and Analytics Software, Technology Industry

Technical Review 187

Technical Review Software Review IoT Artificial Inteligence 187

Altexsoft

JANUARY 22, 2020

With the uprise of internet-of-things (IoT) devices, overall data volume increase, and engineering advancements in this field led to new ways of collecting, processing, and analysing data. As a result, it became possible to provide real-time analytics by processing streamed data. A complete guide to business intelligence and analytics.

Analytics 20

Analytics Data IoT Analysis 20

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

CTOvision

FEBRUARY 17, 2015

From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Opens Data Refinery to Amazon Redshift and Cloudera Impala; Pushes the Limits of Analytics Through Blended, Governed Data Delivery On Demand. Enterprise Cloud Analytics with Amazon Redshift. “We Pentaho 5.3:

Big Data 109

Big Data Analytics AWS Data 109

Cloudera

APRIL 20, 2021

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. The primary purpose is to present the most up-to-date operational events for the user to stay on top of the business needs and take action as changes happen in real-time.

Analytics 95

Analytics Retail Architecture Government 95

The Crazy Programmer

MAY 12, 2021

While both a data lake and a data warehouse share the goal of the process data queries to facilitate analytics, their functions are different. One of the most common use cases is storing data coming from IoT sources for near-real-time analysis. That’s why data warehouses are specifically designed for interactive data analytics.

Data 162

Data Healthcare IoT Analytics 162

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

CIO

NOVEMBER 15, 2022

Approximately 34% are increasing investment in artificial intelligence (AI) and 24% in hyper-automation as well. Investing in ICI would supposedly increase growth for cities and businesses, and improve the lives of citizens. Sanchez-Reina suggested this was putting procurement in a shaker to find the best supplier and service.

Security 214

Security Artificial Inteligence Sustainability Energy 214

Altexsoft

DECEMBER 9, 2020

Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. What is analytics maturity model? They also serve as a guide in the analytics transformation process. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

TechCrunch

JUNE 25, 2021

He acknowledges that traditional big data warehousing works quite well for business intelligence and analytics use cases. “If you follow the trajectory of Splunk, we had this whole idea of building this business around IoT and Splunk at the Edge — and we never really quite got there,” Tully said.

Machine Learning 210

Machine Learning Artificial Inteligence Big Data Business Intelligence 210

Palo Alto Networks

SEPTEMBER 15, 2020

Private 5G networks enable new enterprise use cases not previously possible, allowing for industrial-scale IoT networks with ultra-low latency, mission-critical reliability and a high degree of mobility. The modern mobile IoT environment poses greater IoT security risks , with business-critical operations at stake.

Enterprise 98

Enterprise IoT Network Mobile 98

CTOvision

DECEMBER 21, 2016

Organizations are dealing with ever-growing amounts of data – and to get value from that data they need to analyze it, so what is the hold up in deploying content analytics? This unparalleled amount of content has led to the term ‘content analytics’. The art of applying content analytics. In our just released research -.

Analytics 71

Analytics Technical Review Research Enterprise 71

CTOvision

JUNE 22, 2015

Commissioner Goodell has thrown significant support behind the activity, including several strategic investments around analytic capabilities to empower the fantasy sports enthusiast. The platform leverages the SAP HANA Cloud Platform, an in memory database and analytics engine, and SAP Lumira, a powerful cloud based data visualization suite.

Sport 116

Sport Comparison Internet Games 116

Altexsoft

AUGUST 13, 2020

Data analytics is one of the key directions for digital transformation in various industries, travel included. As business grows, these become impossible to analyze and keep track of manually or using spreadsheets. As business grows, these become impossible to analyze and keep track of manually or using spreadsheets.

Business Intelligence 59

Business Intelligence Hotels Technical Review Technology 59

TechCrunch

AUGUST 24, 2022

In 2020, Chinese startup Zilliz — which builds cloud-native software to process data for AI applications and unstructured data analytics, and is the creator of Milvus , the popular open source vector database for similarity searches — raised $43 million to scale its business and prep the company to make a move into the U.S.

Open Source 199

Open Source Artificial Inteligence Comparison Machine Learning 199

Apiumhub

APRIL 8, 2021

Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. As the director of Advertisement, he works to help data-driven businesses be more successful. With more than 270,000 followers on Twitter, Borne’s influence in data and analytics is widespread.

Artificial Inteligence 110

Artificial Inteligence Technical Advisors Data Machine Learning 110

TIBCO - Connected Intelligence

SEPTEMBER 16, 2020

So, clinging to traditional, static business intelligence (BI) tools will put you at a serious disadvantage. Businesses today need a modern analytics approach to quickly deliver richer insights and manage unprecedented change— hyperconverged analytics. Key Elements of Hyperconverged Analytics.

Analytics 49

Analytics Business Intelligence IoT Meeting 49

CIO

JANUARY 12, 2023

Answering these concerns, smart factories are moving to another edge: edge computing, where operational data from Internet of Things (IoT) sensors can be collected and processed for insights in near-real-time. They also see significant gains in areas such as regulatory compliance, process automation and business intelligence. [5]

Technical Review 113

Technical Review Technology Innovation Data Center 113

Altexsoft

MAY 14, 2021

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. This post will draw a full picture of what Big Data analytics is and how it works. What is Big Data analytics? Traditional approach.

Big Data 78

Big Data Analytics Tools Applications 78

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

Altexsoft

AUGUST 31, 2020

Large part of data comes from widely adopted IoT devices used in 60 percent of hospitals in the US today. 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.

Healthcare 72

Healthcare Analytics Examples Data 72

Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural Language Analysis and Streaming Data Analytics.

Analytics 52

Analytics Trends Data Big Data 52

ParkMyCloud

MAY 29, 2019

Business Intelligence Analyst. A BI analyst has strong skills in database technology, analytics, and reporting tools and excellent knowledge and understanding of computer science, information systems or engineering. IoT Engineer. The Future of Cloud Computing Jobs.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

Software Review 94

Software Review Technical Review Software Development Team Review 94

TIBCO - Connected Intelligence

DECEMBER 4, 2020

As such, the following is an index of these rolled up trends as themes which echoed persistently from industry analysts as top analytics trends for 2021. And check out companies that are ahead of the curve in each category and next steps for your business! . Intelligent, adaptable business…. Click To Tweet.

Analytics 53

Analytics Trends Artificial Inteligence Artificial Intelligence 53

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Data analytics use cases by industry 7. The data analytics process 8. What to look for when hiring a data analytics consultancy 10.

Big Data 52

Big Data Analytics Data Analysis 52

Dzone - DevOps

OCTOBER 17, 2023

In an era where the Internet of Things (IoT) has deeply penetrated multiple facets of life—from smart homes to industrial automation—the volume, velocity, and variety of data are reaching unprecedented levels. Data integration, a cornerstone in the realm of analytics and business intelligence, has had to adapt rapidly.

IoT 40

IoT Data Business Intelligence Storage 40

G2 Crowd Software

MARCH 20, 2018

A less obvious but widely-used example is business intelligence platforms and other predictive analytics programs. If you’re interested in learning more, there is no shortage of articles and thinkpieces discussing machine learning and how it pertains to business intelligence. Artificial Intelligence.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Artificial Intelligence .Net 98

Altexsoft

FEBRUARY 2, 2023

Real-time tracking systems and advanced analytics software can optimize warehouse workflows. An RTLS or real-time location system is an autonomous, IoT -based network of connected devices that enables tracking and identification of objects. What is RTLS and which warehouse challenges does it address? Misplaced inventory and equipment.

IoT 52

IoT Systems Review System Storage 52

TIBCO - Connected Intelligence

SEPTEMBER 30, 2021

With a strong focus on continual innovations in hyperconverged analytics to make the process more intuitive and human-augmented, attendees were invited to discover the limitless possibilities of analytics to further both human and machine-driven decision-making. But also a real transformation in #DataCulture.

Analytics 49

Analytics Innovation Machine Learning Artificial Inteligence 49

TechCrunch

FEBRUARY 24, 2023

Еfarm.pro “The IOT navigation field assistant for agricultural work that allows you to save resources and work more accurately.” G-Mak “The innovative security device equipped with a number of unique technological solutions that can physically stop or disorient an intruder.” It includes a smart hardware device and a mobile application.”

Weak Development Team 262

Weak Development Team VR Sustainability Hardware 262

Altexsoft

MARCH 31, 2020

Only after these actions can you analyze data with dedicated software (a so-called online analytical processing or OLAP system). Thanks to data consolidation, everyone who uses data to make strategic and operational decisions or build and maintain analytical tools, can easily and quickly access it. But how do you move data?

Data 76

Data Storage Analytics Data Center 76

CIO

APRIL 4, 2024

Data prep matters, except… In areas such as supply chain and analytics, having all of your data in a form readily available to an AI model is essential. “How do you go from data, to insights, to action in a continuous loop?” That’s the number-one reason why people don’t get economic outcomes.” Data is the lynchpin to AI success,” says Nafde.

Enterprise 202

Enterprise Technical Review Generative AI Software Review 202

Xebia

JANUARY 19, 2023

– Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. IoT (1990) The Internet of Things is a distributed collection of devices. DataOps aims to improve the release and quality of data products.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

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. Brian Buntz , Content Director, Iot Institute, Informa, @brian_buntz.

Data 65

Data Meeting Technical Review Machine Learning 65