Cloudera

SEPTEMBER 18, 2020

In Part Two they will look at how businesses in both sectors can move to stabilize their respective supply chains and use real-time streaming data, analytics, and machine learning to increase operational efficiency and better manage disruption. The 6 key takeaways from this blog are below: 6 key takeaways. Brent Biddulph: .

Retail 84

Retail Weak Development Team Machine Learning Artificial Inteligence 84

Cloudera

AUGUST 3, 2021

Consider that e-commerce’s acceleration due to the pandemic saw retailers’ digital sales penetration realize 10 years of growth in just the first three months of 2020 alone. . In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Advanced analytics empower risk reduction .

Analytics 111

Analytics Open Source Government Machine Learning 111

Cloudera

SEPTEMBER 11, 2020

The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions. . Data and analytics. Automation opportunities.

Retail 92

Retail Technical Review Apparel Analytics 92

Capgemini

JUNE 24, 2020

Executive Vice President, Data & Insights. Industry Specialization: Manufacturing, Hi-tech, Consumer Products, Retail, and Logistics. Competency Expertise: Big Data & Analytics, Artificial Intelligence, Internet of Things (IoT), Enterprise Transformation, SAP, Supply Chain Management, Shared Services, Business Process Services.

Programming 52

Programming Artificial Intelligence Artificial Inteligence IoT 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. From our experience working with many retailers and consumer product companies : .

Infrastructure 64

Infrastructure Data Retail Analytics 64

O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Temporal data and time-series. Automation in data science and big data. Graph technologies and analytics.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

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

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 110

Data Artificial Inteligence Analytics Machine Learning 110

Capgemini

MAY 13, 2020

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? How should our data, analytics, and AI organization be structured? Executive Vice President, Data & Insights. Jerry Kurtz.

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

Mentormate

APRIL 15, 2024

The Java Community Process (JCP) facilitates collaborative development and standardization of Java technologies, ensuring that the language remains relevant in emerging trends such as cloud computing, big data, and the Internet of Things (IoT).

Software Review 52

Software Review Telecommunications Scalability Technical Review 52

CTOvision

FEBRUARY 23, 2017

This is the place to dive deep into the latest on Big Data, Analytics, Artificial Intelligence, IoT, and the massive cybersecurity issues in all those topics. The data industry is growing fast, and Strata + Hadoop World has grown right along with it. Data scientists. Data engineers.

Big Data 61

Big Data Artificial Intelligence Artificial Inteligence Case Study 61

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.

Analytics 20

Analytics Data IoT Analysis 20

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 45

Artificial Inteligence Data Machine Learning Pharmaceuticals 45

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

Trigent

APRIL 14, 2022

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. Real-time monitoring and analytics are logged for a supervisor to check and intervene if necessary. And that can be a cause for worry.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Altexsoft

SEPTEMBER 23, 2020

You don’t see it screaming at you from headlines, startups are not using it on the landing pages, and it’s slowly climbing up Garner’s Hype Cycle for Healthcare Providers , overpassed by medical IoT, Blockchain, and analytics. This can be data from surveys, tests, and wearables. Transparent data collection and sharing.

Healthcare 64

Healthcare Analytics Technical Review Software Review 64

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

Apiumhub

AUGUST 2, 2018

Smart Homes & IoT. IoT takes care of routine maintenance tasks, detecting malfunctions and defects before they become an inconvenience. 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.

Real Estate 51

Real Estate Technical Review IoT VR 51

Altexsoft

MAY 20, 2020

For the most part, they belong to the Internet of Things (IoT), or gadgets capable of communicating and sharing data without human interaction. The number of active IoT connections is expected to double by 2025, jumping from the current 9.9 Source: IoT Analytics. IoT architecture layers. billion to 21.5

IoT 141

IoT Azure AWS Transportation 141

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. IOT projects that may change the world.

eCommerce 42

eCommerce Artificial Inteligence Artificial Intelligence Machine Learning 42

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. Retail – Starbucks, Walgreens, ASOS. Retail – Petco, Neiman Marcus. Data and analytics. Energy – Shell, Chevron. Governments . Governments.

Azure 52

Azure AWS Cloud How To 52

TIBCO - Connected Intelligence

NOVEMBER 19, 2019

Shawn Rogers, Senior Director of Analytic Strategy at TIBCO and internationally recognized thought leader on analytics, visited top technology institutes, Bandung Institute of Technology (ITB) in Indonesia and Asia Pacific University (APU) in Malaysia, to share his expertise on how to drive innovation with Big Data.

Technology 11

Technology Big Data Analytics Culture 11

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

Cloudera

SEPTEMBER 4, 2020

The Future Of The Telco Industry And Impact Of 5G & IoT – Part 3. To continue where we left off, how are ML and IoT influencing the Telecom sector, and how is Cloudera supporting this industry evolution? When it comes to IoT, there are a number of exciting use cases that Cloudera is helping to make possible.

IoT 93

IoT Industry Machine Learning Artificial Inteligence 93

Confluent

MAY 22, 2019

Through the Internet of Things (IoT), it is also connecting humans to the machines all around us and directly connecting machines to other machines. In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution.

IoT 97

IoT Google Cloud Scalability Microservices 97

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. It is used in eCommerce and IoT. Alibaba Cloud.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Apiumhub

SEPTEMBER 18, 2019

Despite its traditional image, agriculture is adopting new technological innovations and leveraging the cloud, big data, and the Internet of Things (IoT) solutions to increase productivity while protecting our environment. Data is at the heart of this technique. IoT-based sensor networks. Retail and food services.

Innovation 15

Innovation Artificial Inteligence Artificial Intelligence IoT 15

d2iq

JANUARY 23, 2023

We have entered the next phase of the digital revolution in which the data center has stretched to the edge of the network and where myriad Internet of Things (IoT) devices gather and process data with the aid of artificial intelligence (AI).As It also enables organizations to more quickly scale up applications.

Artificial Inteligence 69

Artificial Inteligence Artificial Intelligence IoT Data Center 69

Kentik

NOVEMBER 21, 2016

Meanwhile a host of retail-level DDoS attackers constitute a B2C sector — the main portion of the DDoS market — in which, for a fraction of a bitcoin, an unscrupulous gamer can launch a DDoS attack against an online foe. But you can’t do that if you don’t have the data. The Case for Big Data.

Big Data 40

Big Data Data B2C Storage 40

Cloudera

FEBRUARY 4, 2019

One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). CDF, as an end-to-end streaming data platform, emerges as a clear solution for managing data from the edge all the way to the enterprise.

IoT 73

IoT Open Source Analytics Retail 73

Altexsoft

JULY 9, 2021

manufacturing — generate so much data that it causes traffic jams on the route to the servers. The elegant solution to this challenge is shifting some tasks from powerful, but remote data centers to smaller processors at the edge, or in direct proximity to IoT devices. What is edge computing. Edge computing architecture.

IoT 59

IoT Azure Hardware USP 59

CIO

DECEMBER 13, 2022

Split the data among multiple machines and create a distributed system. NoSQL (“Not only SQL”) databases were invented to cope with these new requirements of volume (capacity), velocity (throughput), and variety (format) of big data. Online banking services, airline booking systems, and popular retail apps.

Disaster Recovery 147

Disaster Recovery Open Source Data Center Scalability 147

Xicom

AUGUST 13, 2019

Xicom understands that today’s organizations face many challenges in their digital evolution journey and having expertise in emerging technologies like AI, Blockchain, IoT, AR/VR, Big data & Analytics and Cloud computing it delivers solutions that meet challenges. Emaar is one of the top brands in UAE and the world.

Company 11

Company Development Team Review Real Estate Technical Review 11

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

Altexsoft

DECEMBER 16, 2019

strives to achieve these goals through automation by applying sensors, robotics, big data, Internet of Things technologies, and connecting all elements of the chain. IoT technologies. Internet of Things or IoT technologies is the term used for devices and software attached to different items to receive and send data.

Transportation 19

Transportation IoT Blockchain Retail 19

Confluent

OCTOBER 10, 2019

The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. A key challenge, however, is integrating devices and machines to process the data in real time and at scale. Confluent MQTT Proxy , which ingests data from IoT devices without needing a MQTT broker. Example: E.ON.

IoT 20

IoT Internet Weak Development Team Scalability 20