Apiumhub

MARCH 18, 2021

More data is available to businesses than ever, which is why business analytics is a growing field. But how and why professionals use data to reach decisions varies depending on the industry. In this article we will discuss business analytics tools and use cases. “The What is Business Analytics?

Business Analytics 52

Business Analytics Analytics Tools Trends 52

Capgemini

MAY 20, 2020

Retailers have long been hampered by their data infrastructures, first by structural limitations inherent in data warehouses and then the expense and lack of agility of newer big-data systems. In part one of this blog, I examine the cost of legacy systems and introduce an answer to th at problem. .

Infrastructure 64

Infrastructure Data Retail Analytics 64

Hacker Earth Developers Blog

MARCH 5, 2019

The Industrial IoT (IIoT), also known as the industrial internet or industrie 4.0 , employs big data technologies and machine learning to exploit machine-to-machine (M2M) communication, sensor data, and automation technologies that are already in place. Smart Retail. Industrial IoT. trillion per year by 2025.

IoT 283

IoT Internet Applications Innovation 283

Cloudera

JANUARY 20, 2021

Consider that Manufacturing’s Industry Internet of Things (IIOT) was valued at $161b with an impressive 25% growth rate, the Connected Car market will be valued at $225b by 2027 with a 17% growth rate, or that in the first three months of 2020, retailers realized ten years of digital sales penetration in just three months.

Data 105

Data Artificial Inteligence Analytics Machine Learning 105

MagmaLabs

APRIL 25, 2023

Headless Commerce In 2021, retail e-commerce sales amounted to approximately 5.2 Big Data The term “big data” is used to describe large and complex data sets. Be it healthcare data or social media metrics, modern technology means large structured or unstructured data sets can be delivered in near real-time.

Trends 52

Trends eCommerce Artificial Inteligence Software 52

MagmaLabs

APRIL 25, 2023

Headless Commerce In 2021, retail e-commerce sales amounted to approximately 5.2 Big Data The term “big data” is used to describe large and complex data sets. Be it healthcare data or social media metrics, modern technology means large structured or unstructured data sets can be delivered in near real-time.

Trends 52

Trends eCommerce Artificial Inteligence Software 52

Capgemini

JUNE 3, 2020

Retailers have long been hampered by their data infrastructures, first by structural limitations inherent in data warehouses and then the expense and lack of agility of newer big-data systems. In part one of this blog, I explained the cost of legacy systems. Now, let’s investigate the solution.

Infrastructure 52

Infrastructure Data Retail Analytics 52

OTS Solutions

DECEMBER 22, 2023

Make better decisions: Companies can benefit from big data by putting analytics and data at the core of their digital transformation if the business does not. With the right mix of analytical tools, this data may be translated into crucial business insights, enabling you to make choices more quickly and more effectively.

Artificial Inteligence 130

Artificial Inteligence Technical Review Artificial Intelligence Weak Development Team 130

Cloudera

OCTOBER 28, 2021

I’ve had the pleasure to participate in a few Commercial Lines insurance industry events recently and as a prior Commercial Lines insurer myself, I am thrilled with the progress the industry is making using data and analytics. Commercial Lines truly is an “uber industry” with respect to data.

Insurance 94

Insurance Data Analytics Industry 94

TIBCO - Connected Intelligence

JANUARY 14, 2021

In this month’s TIBCO tips blog, we’re highlighting different ways to help you to work towards achieving your 2021 business goals. Data Governance: How to Move from Strategy Into Practice. Many organizations are realizing that to drive business value with data, they need to understand the context of the data and its master lineage.

Strategy 49

Strategy eBook Virtualization Government 49

Capgemini

MAY 13, 2020

In a series of blogs, I will answer these and other questions. three legs of the stool): business use cases, data, and governance. Governance plans must address: What is the role of IT in data, analytics, and AI? Who owns the data (e.g. What should we do to improve our data security and compliance?

Artificial Intelligence 59

Artificial Intelligence Artificial Inteligence Government IoT 59

Xicom

MARCH 14, 2023

Table Of Contents 1) Machine Learning in Mobile Apps 2) Predictive Analysis 3) Virtual Personal Assistants 4) Improved User Experience 5) Augmented Reality 6) Blockchain Technology 7) Facial Recognition 8) Internet of Things 9) Cloud Computing 10) Cybersecurity 11) Marketing and Advertisements 12) Big Data Q1: What is Artificial Intelligence?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Mobile Development 52

OTS Solutions

JULY 28, 2022

This blog will examine how mobile app for financial services. Financial institutions can make more money by adding extra services, like retail deals or travel insurance to their apps. The technology also makes it easier for banks to process transactions and manage their operations.

Mobile 195

Mobile Industry Banking Fintech 195

Coforge

AUGUST 31, 2020

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Industry 40

Industry Technical Review Software Review Systems Review 40

CTOvision

OCTOBER 22, 2014

Puma Energy is the fuels retailing arm of Swiss-based … Read more on Ferret. Cloudera, a provider of Apache Hadoop, has penned a deal to help Mastercard comply with the Payment Card Industry’s data security standard. Cloudera , Red Hat make enterprise big data pact. Mastercard and Cloudera in PCI pact.

Technical Review 108

Technical Review Technology Software Review 3D 108

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Technical Impact. Enterprise Machine Learning: .

Artificial Inteligence 44

Artificial Inteligence Data Machine Learning Pharmaceuticals 44

CTOvision

APRIL 7, 2014

in new contracts for advanced cybersecurity projects for defense and federal government agencies in the areas of cloud-based advanced malware analysis, spear-phishing attacks against Android, and big data analytics for compromise detection. Follow Invincea: Invincea Blogs: [link] /. contract with the U.S.

Enterprise 102

Enterprise Malware Research Big Data 102

N2Growth Blog

JANUARY 23, 2018

Digital technology continues to transform both the retail and consumer experience. Businesses must also take advantage of customer telemetry, Big Data, generated by activity on websites, mobile devices, and social media, to create a more personalized experience — both in-house and online. That was the big data of its era.”.

Innovation 84

Innovation Strategy Big Data Advertising 84

TIBCO - Connected Intelligence

JULY 22, 2020

Data and analytics can help guide our community actions. The pandemic has highlighted the need for sound data science, visual analytics and data management methods, and the infusion of these skills and literacy into broader groups of users—in companies and the population at large,” says Michael O’Connell, TIBCO Chief Analytics Officer.

Analytics 47

Analytics Analysis Study Pharmaceuticals 47

TIBCO - Connected Intelligence

JULY 8, 2021

The company reports a savings of around $300,000 a month in energy consumption thanks to TIBCO’s analytics-driven platform. “We We’re impressed with the results and the use of data science that helped us get there,” said Keith Carey, CIO at HSC. Insights for all industries.

Energy 26

Energy Case Study Sustainability Analytics 26

Apiumhub

JANUARY 30, 2019

Big Data analytics. With millions of customers buying products online, there is an infinite amount of data that generates every day. Every action made by the user turns into data and that data can be useful for the ecommerce site to know their target audience. Top business blogs to read.

eCommerce 42

eCommerce Artificial Inteligence Artificial Intelligence Machine Learning 42

Trigent

APRIL 14, 2022

Whether and how much work will return to the workplace (versus work from home) is a matter for a different blog. Be it in a user’s hands, PoS (Point of Sale) at a retail counter, manufacturing assembly line, or CSP (cellular service provider), the edge has moved closest to the point where it needs to be.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Mobilunity

DECEMBER 21, 2022

In the insurance industry, data scientists mine and analyze data for use in customer segmentation, risk modeling, lifetime value prediction, etc. Data science can help businesses to improve customer service, enhance products, optimize production, and lower losses. Working with business leaders to develop data strategies.

Data 52

Data How To Machine Learning Artificial Inteligence 52

Apiumhub

AUGUST 2, 2018

By using data analytics and artificial intelligence , real estate owners can match supply and demand and have an opportunity to have predictive analysis and recommendations. Appear Here concentrates on the retail sector, specifically short-term rentals and pop-ups, by linking retailers with landlords to find the best spaces available.

Real Estate 51

Real Estate Technical Review IoT VR 51

Mobilunity

MAY 20, 2021

Google cloud engineer profession is in demand in retail, education, and finance especially, as it can incorporate other Google services (like managing Google Ads). The cloud can be used for integration, commerce, analytics, sales, services, and marketing. Google’s platform is in third place, with 49% of enterprises using it in 2021.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Sunflower Lab

SEPTEMBER 11, 2023

Another feature which the Data Lake has over the data warehouse is the Schema-on read feature which the later misses out, data warehouse only has the capability of Schema-on write feature, thus the schema needs to be fixed even before the data is loaded into the database.

Industry 52

Industry Data Retail Architecture 52

Cloudera

AUGUST 31, 2020

The XM platform, smg360 , helps customers across verticals, including restaurants, retail, and healthcare, drive changes that boost loyalty and improve business outcomes. . With data at the heart of its business, SMG has for many years pursued the most cutting-edge data management technologies.

Analytics 63

Analytics Disaster Recovery Technical Advisors Cloud 63

Cloudera

SEPTEMBER 15, 2022

Apache Ozone is a distributed, scalable, and high-performance object store , available with Cloudera Data Platform (CDP), that can scale to billions of objects of varying sizes. Manufacturing, where the data they generate can provide new business opportunities like predictive maintenance in addition to improving their operational efficiency.

Storage 86

Storage System Artificial Inteligence Big Data 86

Cloudera

DECEMBER 9, 2021

To accomplish that, the company needed to resolve issues around outdated usage data, limited storage and processing capabilities, siloed operations, and a limited view of customers. . MTN leveraged a data lake powered by the EVA (Enterprise Value Analytics) platform and deployed Cloudera CDP to unify data access across its operations.

Industry 82

Industry Artificial Inteligence Data Banking 82

Cloudera

SEPTEMBER 4, 2020

They have access to huge amounts of complex data from a range of sources but have had limited success driving meaningful value and action from it to drive significant business impacts. This is where machine learning analytics and AI come in and change things, allowing telcos to get much more value from the data they already have.

IoT 92

IoT Industry Machine Learning Artificial Inteligence 92

Cloudera

FEBRUARY 3, 2021

With streaming data, analytics, machine learning, and the cloud, organizations can increase operational efficiency and better manage supply chain creation, as well as disruption. Leveraging all data sources and breaking down the silos that prevent data consolidation allows advanced predictive analytics.

Data 103

Data Agile Analytics Transportation 103

Cloudera

FEBRUARY 4, 2019

The key aspects of the CDF platform are – Edge Data Management – Set up hundreds of MiNiFi agents in or near edge devices to enable edge data collection, content filtering, routing etc. Process millions of real-time messages per second to feed into your data lake or for immediate streaming analytics.

IoT 72

IoT Open Source Analytics Retail 72

Altexsoft

MAY 20, 2020

Source: IoT Analytics. For companies, incorporating the consistent IoT strategy into daily routine means continuous access to valuable data about products and processes that can be translated into reduced expenses, improved efficiency in logistics and maintenance, better products and enhanced customer experience. Source: IoT Analytics.

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. process data in real time and run streaming analytics.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Cloudera

NOVEMBER 29, 2021

Managing data and its flow, from the edge to the cloud, is one of the most important tasks in the process of gaining data intelligence. . The category Data Lifecycle Connection highlights organizations that work with multiple parts of the data lifecycle to collect, enrich, report, serve, and predict. . CARREFOUR SPAIN.

Data 76

Data Telecommunications Retail Machine Learning 76

Confluent

JUNE 26, 2019

This blog post discusses why Apache Kafka became the de facto standard and backbone for microservice architectures—not just replacing other traditional middleware but also building the microservices themselves using DDD and Kafka-native APIs like Kafka Streams, KSQL, and Kafka Connect. Consumers can reprocess data again and again (e.g.,

Microservices 109

Microservices Software Review Technical Review Architecture 109

Confluent

MAY 22, 2019

Will you be capturing that data in real time or in batches? What role will analytics play in future? In addition, you should be able to generate MQTT workloads that publish the messages to the corresponding Kafka topics, which are then used for both real-time as well as batch analytics via Scylla. Interactive M2M/IoT Sector Map.

IoT 97

IoT Google Cloud Scalability Microservices 97