OTS Solutions

DECEMBER 12, 2023

Overview of AI in the Manufacturing Industry AI technologies, such as machine learning and robotic process automation, can enhance manufacturing operations by increasing efficiency, improving quality control, and reducing costs. AI-powered robots can perform repetitive and dangerous tasks, minimizing human intervention.

Artificial Inteligence 130

Artificial Inteligence Industry Artificial Intelligence Machine Learning 130

OTS Solutions

OCTOBER 10, 2023

It encompasses technologies such as the Internet of Things (IoT), artificial intelligence (AI), cloud computing , and big data analytics & insights to optimize the entire production process. include the Internet of Things (IoT) solutions , Big Data Analytics, Artificial Intelligence (AI), and Cyber-Physical Systems (CPS).

Artificial Inteligence 147

Artificial Inteligence Mobile Industry Cloud 147

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. Machine Learning model lifecycle management. Deep Learning. Graph technologies and analytics. Data Platforms.

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Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

G2 Crowd Software

MARCH 20, 2018

anytime soon, but machine learning and deep learning are gaining a large amount of traction, and are becoming borderline essential in the business world. For most people, these terms are alienating because many people don’t have an understanding of what machine learning and deep learning are.

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Artificial Inteligence Machine Learning Artificial Intelligence .Net 98

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

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 The number of active IoT connections is expected to double by 2025, jumping from the current 9.9

IoT 141

IoT Azure AWS Transportation 141

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

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. These technologies allow mobile apps to learn and adapt to specific equipment conditions, further reducing the risk of equipment failures. Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

OTS Solutions

JUNE 3, 2022

At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. There has been a tremendous impact on the advancement and accessibility of healthcare technology through Internet of Things (IoT) devices, wearable gadgets, and real-time medical data monitoring.

Healthcare 345

Healthcare Artificial Inteligence Trends Artificial Intelligence 345

CIO

DECEMBER 1, 2022

To date the company has moved 5,000 applications to Microsoft Azure as it applies predictive analytics , AI, robotics, and process automation in many of its business operations. The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics.

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Analytics KPI IoT Azure 336

Cloudera

AUGUST 28, 2020

In part 2 of the series focusing on the impact of evolving technology on the telecom industry, we sat down with Vijay Raja, Director of Industry & Solutions Marketing at Cloudera to get his views on how the sector is changing and where it goes next. 5G and IoT are going to drive an explosion in data.

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IoT Industry Machine Learning Artificial Inteligence 110

CIO

JANUARY 24, 2024

The Agent Swarm evolution has been propelled by advancements in computing, artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). Gather/Insert data on market trends, customer behavior, inventory levels, or operational efficiency.

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Artificial Inteligence Architecture Artificial Intelligence Machine Learning 271

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

Cloudera

SEPTEMBER 15, 2021

Leveraging the Internet of Things (IoT) allows you to improve processes and take your business in new directions. That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data. The IoT depends on edge sites for real-time functionality. Real-time Demands.

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Analytics IoT How To Data Center 118

CIO

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. For data warehouses, it can be a wide column analytical table. Data fabrics are picking up momentum to improve analytics across different analytical platforms.

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Organization Technical Review Data Artificial Inteligence 268

Cloudera

SEPTEMBER 4, 2020

The Future Of The Telco Industry And Impact Of 5G & IoT – Part 3. In the final installment in the series, Vijay Raja, Director of Industry & Solutions Marketing at Cloudera shares his views on how the telecom sector is changing and where it goes next. Hi Vijay, thank you so much for joining us again.

IoT 93

IoT Industry Machine Learning Artificial Inteligence 93

Cloudera

DECEMBER 20, 2022

In that sense, access to the auction is more conservative and can lead to inefficiencies in the use of assets, as some of the energy produced may be discarded if it is not saleable in the intraday market. In this respect, several studies project that a proper use of advanced analytics implies savings of between 5% and 7.5%.

Energy 81

Energy Analytics Data Machine Learning 81

Altexsoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

CIO

JULY 18, 2023

CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. The upside of recent tech layoffs is that there has been more cloud talent on the market this year. “We

Technical Advisors 239

Technical Advisors Artificial Inteligence Generative AI How To 239

Sunflower Lab

APRIL 2, 2024

That’s where predictive analytics with Power BI swoops in, taking center stage as a game-changer for CEO decision-making. This isn’t just a blog post; it’s a detailed guide that CEOs, Business Analysts, and Data Scientists need to weave predictive analytics seamlessly into the DNA of their organizations using Power BI.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Altexsoft

SEPTEMBER 27, 2020

Internal Workflow Automation with RPA and Machine Learning. Depending on the work the machine learning algorithms are going to do and regulations, it may require an explanation layer over the core ML system. Machine learning in Insurance: Automation of Claim Processing. million in the first year of AI use.

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Insurance Machine Learning Artificial Inteligence Blockchain 130

CIO

OCTOBER 1, 2022

The company has already undertaken pilot projects in Egypt, India, Japan, and the US that use Azure IoT Hub and IoT Edge to help manufacturing technicians analyze insights to create improvements in the production of baby care and paper products. These things have not been done at this scale in the manufacturing space to date, he says.

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Artificial Inteligence Azure IoT Analytics 363

CIO

FEBRUARY 14, 2023

Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI.

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Artificial Inteligence Strategy Data Machine Learning 287

CIO

MARCH 24, 2023

IoT & AI/ML-powered technologies can enable business capabilities such as just-in-time inventory management and auto-replenishment, which in addition to reducing waste and saving money also help retailers track, record, manage, reduce, and report emissions.

Retail 243

Retail Business Transformation Artificial Inteligence Cloud 243

Altexsoft

SEPTEMBER 19, 2023

Beyond its fundamental role in elevating customer experience, travel analytics has a valuable impact on revenue growth and cultivating a competitive edge. This article explores the influence of analytics on marketing strategies, revenue management, guest personalization, and other aspects of the travel industry.

Travel 52

Travel Analytics Examples Airlines 52

Trigent

NOVEMBER 3, 2022

The future of the global supply chain market lies in IoT, integrated solutions, data, and mobility. The ultimate goal of any organization dealing with a pool of connected devices and sensors is to leverage this data by learning the trends and patterns. There lies the importance of data analytics. The route to the future.

Analytics 52

Analytics Data IoT Trends 52

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Analytics 108

Analytics Open Source Government Machine Learning 108

CEO Insider

JANUARY 29, 2021

The industrial IoT market is of great interest to software developers and investors as it is growing so quickly.

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Artificial Inteligence Applications Artificial Intelligence Company 145

CIO

AUGUST 16, 2022

Elaborating on some points from my previous post on building innovation ecosystems, here’s a look at how digital twins , which serve as a bridge between the physical and digital domains, rely on historical and real-time data, as well as machine learning models, to provide a virtual representation of physical objects, processes, and systems.

Infrastructure 363

Infrastructure Industry 3D VR 363

CIO

OCTOBER 6, 2022

Artificial Intelligence (AI) is fast becoming the cornerstone of business analytics, allowing companies to generate value from the ever-growing datasets generated by today’s business processes. billion market in 2024. billion market in 2024. Optimising HPC and AI Workloads.

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Artificial Inteligence Industry Artificial Intelligence Innovation 240

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

CIO

JULY 20, 2023

These solutions leverage the latest advances in IoT and weighing scale and camera technologies to minimize or even eliminate friction, as they can precisely track the items customers add to their baskets and bill them when they exit the store. Moreover, investing more time with a product increases their familiarity with your brand.

Retail 185

Retail Trends Technology 3D 185

TechCrunch

SEPTEMBER 8, 2022

Additionally, the next generation of Seagate’s “lab on a chip” technology can fit on a desktop or be used as IoT devices. Catalog says their first combined test of chemistry and electronics is expected to start in mid-September. This work with Seagate is essential to eventually lowering costs and reducing the complexity of storage systems.”.

Storage 206

Storage Artificial Inteligence Data Chemicals 206

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. Analytics in planning and demand forecasting.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Trigent

JUNE 24, 2021

Salesforce known for its cutting-edge solutions has been consistently deploying emerging innovative technologies like the Internet of Things (IoT) to empower them. IoT is driving business growth by enabling real-time management of critical systems across industries. The IoT edge from Salesforce. million by 2025.

IoT 59

IoT Cloud Software Review Technical Review 59

Cloudera

SEPTEMBER 5, 2018

While the Internet of Things (IoT) represents a significant opportunity, IoT architectures are often rigid, complex to implement, costly, and create a multitude of challenges for organizations. An Open, Modular Architecture for IoT.

IoT 47

IoT Architecture Machine Learning Artificial Inteligence 47

CIO

JANUARY 23, 2024

For example, manufacturers should capture how predictive maintenance tied to IoT and machine learning saves money and reduces outages. We track KPIs on execution (on-time delivery, cycle time for adoption), risks, outcomes for benefits (time to market, change failures, major incidents), and costs (TCO before and after adoption).”

KPI 340

KPI Metrics Culture Strategy 340