CIO

JUNE 8, 2023

On the business enablement side, our focus has been to apply advanced technologies such as analytics/AI, intelligent automation, and digital manufacturing solutions — such as AR/VR, computer vision — to rethink and reimagine our manufacturing, supply chain, and digital customer experience. So that’s the alignment on the framework.

Artificial Inteligence 246

Artificial Inteligence Analytics Strategy Artificial Intelligence 246

Cloudera

FEBRUARY 8, 2021

The digital revolution is making a deep impact on the automotive industry, offering practically unlimited possibilities for more efficient, convenient, and safe driving and travel experiences in connected vehicles. billion in 2019, and is projected to reach $225.16 billion by 2027, registering a CAGR of 17.1% from 2020 to 2027.

Data 105

Data Machine Learning Artificial Inteligence Automotive 105

Perficient

NOVEMBER 9, 2023

They’ve been designing and building custom automotive solutions to advance customer experience and leverage competitive advantages. For the consumer automotive market, big data can help drivers understand when their vehicles need repair or attention. What Can Connected Data Do for Automotive Insurance and Finance?

Automotive 52

Automotive Data Big Data Insurance 52

CIO

MARCH 24, 2023

Murph points out, for example, that Microsoft has a financial solutions industry cloud yet many enterprises use IBM for financial services in the cloud and still other financial companies have developed a high-end solution in conjunction with NASDAQ that includes analytics and machine learning models.

Industry 275

Industry Cloud Technical Review Pharmaceuticals 275

TechCrunch

AUGUST 2, 2022

It’ll certainly need a substantial war chest to compete in the growing market for data analytics products. O9 Solutions, which applies analytics to the supply chain and inventory planning and management, recently raised $295 million in a funding round that values the company at $2.7 Unsupervised, Pecan.ai

Analytics 207

Analytics Big Data Automotive Enterprise 207

TechCrunch

FEBRUARY 18, 2022

XRHealth Virtual Clinic – Integrates VR/AR, licensed clinicians and real-time data analytics. Eatron Technologies – Intelligent production-ready software solution for the automotive industry and mobility. Zeit Medical – AI-powered sensing technology for immediate stroke detection at home. The Metaverse. Tanvas, Inc.

3D 221

3D Artificial Inteligence VR Programming 221

Teradata

AUGUST 4, 2021

The pressure to integrate analytics & machine learning into the automotive business is unrelenting. Find out what the auto industry needs to deliver on its digital promise.

Automotive 52

Automotive Data Machine Learning Artificial Inteligence 52

TechCrunch

MAY 25, 2021

Boston-based Affectiva brings its emotion-detection software to the deal, which will allow Smart Eye to offer its existing automotive partners a variety of products. Affectiva, which employs 100 people at its offices in Boston and Cairo, also has another business unit that applies its emotio-detection software to media analytics.

Software 247

Software Artificial Inteligence Automotive Artificial Intelligence 247

CIO

MARCH 31, 2023

The CIO is also tasked with ensuring AMD has a massive data repository and analytics to extend sufficient resources to his engineering team. That shortage has abated as of late (except in automotive industry) as possible recession has slowed demand for consumer devices, PCs, and servers, Ranjan says.

Engineering 289

Engineering Data Center AWS Cloud 289

Perficient

FEBRUARY 20, 2024

AI-Driven Insights and Predictive Analytics Data Cloud leverages advanced artificial intelligence (AI) capabilities to provide actionable insights and predictive analytics. By incorporating machine learning models, businesses can uncover patterns and trends within their data, empowering them to make informed decisions.

Artificial Inteligence 59

Artificial Inteligence Cloud Artificial Intelligence Data 59

Agile Engine

SEPTEMBER 29, 2023

Few people know this, but enterprises often employ a machine learning technique that’s instrumental in particle physics experiments at the Large Hadron Collider. Just as the Large Hadron Collider accelerates subatomic particles, machine learning solutions set trillions of data points in motion to solve complex business challenges.

Video 52

Video Machine Learning Artificial Inteligence Automotive 52

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. Industrial IoT. Conclusion.

IoT 283

IoT Internet Applications Innovation 283

Capgemini

DECEMBER 18, 2023

These include supply chain volatility, sustainability, government investments, generative AI, geopolitical tensions, equality, and the tremendous opportunities in automotive. 5 – Meeting OEMs’ growing needs, especially in automotive Automotive is a huge driver for many of the changes facing the semiconductor industry.

Trends 52

Trends Industry Automotive Generative AI 52

Palo Alto Networks

JUNE 11, 2021

Industry-leading automotive retailer, AutoNation, realized their current wide area network (WAN) architecture was complex, slow, and often unreliable as MPLS has failed to meet their performance demands – even after moving from T1 to higher-bandwidth fiber connections. Digital Transformation to Elevate Efficiency and Future-Proof Investments.

WAN 98

WAN Performance Automotive Retail 98

OTS Solutions

DECEMBER 22, 2023

Overview of Digital Transformation Digital transformation means the operational, cultural, and organizational changes within an organization’s ecosystem with the help of modern technologies such as cloud computing, the Internet of Things, artificial intelligence, machine learning, mobile apps, etc. Implementation. Acceleration.

Artificial Inteligence 130

Artificial Inteligence Technical Review Artificial Intelligence Weak Development Team 130

O'Reilly Media - Ideas

JANUARY 8, 2019

In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. For most companies, the road toward machine learning (ML) involves simpler analytic applications. Tools for secure and privacy-preserving analytics.

Trends 86

Trends Data Machine Learning Artificial Inteligence 86

Xebia

DECEMBER 14, 2023

I see that almost every larger business has invested in Big Data, Advanced Analytics, and Data Science. Some examples with a lot of impact are the financial industry with fraud detection, the automotive industry with self-driving efforts and (social) media sector with personalized feeds. What components have you included in it?

Product Management 130

Product Management Training Artificial Inteligence Agile 130

TechCrunch

MARCH 21, 2022

million sq km over six countries and is the world’s largest tropical carbon sink — by applying machine learning to parse satellite imagery in order to be able identify illegal logging activity in real time. so they’re armed with actionable intelligence to combat deforestation and biodiversity loss.

Energy 200

Energy Data Nonprofit Programming 200

Capgemini

JANUARY 8, 2020

Machine learning and analytics – As these and other new digital technologies are applied to manufacturing, they provide huge amounts of data about the effectiveness of factory equipment that can be used by machine-learning platforms to enable predictive maintenance and optimize manufacturing processes.

Technology 52

Technology Automotive IoT Machine Learning 52

Cloudera

AUGUST 18, 2021

In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The addition of doctor’s notes to the ML models,” says Dr. Bala Hota, Rush chief analytics officer, “doubled the accuracy of the models to provide best care and seek best outcomes.”.

Innovation 87

Innovation Artificial Inteligence Data IoT 87

Cloudera

JANUARY 29, 2021

But then conflicting information arrives as VentureBeat reports that around 90 percent of machine learning models never make it into production? These insights will deliver dashboards, reports and predictive analytics that drive high-value manufacturing use cases. VP, Cloud, Machine Learning and Field – Cloudera.

Industry 53

Industry Automotive Technical Review CTO Coach 53

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. Michael Ger: .

Retail 80

Retail Weak Development Team Machine Learning Artificial Inteligence 80

Mobilunity

JUNE 5, 2023

The automotive industry has been an engine of transformation and innovation for over a century, revolutionizing the way we travel and shaping the modern world. In this article, we embark on a journey through the realms of the automotive industry, exploring its vibrant landscape, emerging trends, and groundbreaking advancements.

Automotive 52

Automotive Software Development Software Artificial Inteligence 52

Capgemini

MAY 15, 2020

In my last post , I showed how artificial intelligence and analytics can play a significant role in increasing cash flow for manufacturers. . Using data and analytics, artificial intelligence and machine learning can help manufacturers make more accurate warranty predictions and , in some cases, avoid a warranty claim altogether.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Automotive Analytics 52

N2Growth Blog

DECEMBER 8, 2023

Greater emphasis is placed on understanding customer needs, behaviors, and preferences, facilitated by using Big Data and analytics tools. Guillen, previously serving as the company’s automotive president, was appointed CCO in 2020.

Recruiting 146

Recruiting Leadership Strategic Planning Trends 146

Capgemini

AUGUST 4, 2020

SAP S/4HANA architecture, allowing in-memory processing of MRP, allows for more powerful event analysis and alerting; and embedded analytics and FIORI allows users to readily access data and seamlessly build what-if scenarios on the fly. If you want to explore artificial intelligence and machine learning, you need a trusted data pipeline.

Artificial Inteligence 52

Artificial Inteligence Data Automotive Artificial Intelligence 52

Cloudera

NOVEMBER 9, 2022

“I chose to join Cloudera among other opportunities I had at the time because its products touch the artificial intelligence (AI) and machine learning (ML) sectors,” he explained. When customers invest in Cloudera they are not investing in marginal savings on storage, they are investing in an analytics capability.

Artificial Inteligence 86

Artificial Inteligence Strategy Artificial Intelligence Machine Learning 86

TechCrunch

OCTOBER 27, 2021

Analytics can also be shared via a report for third parties like mapping companies, road authorities or fleet managers to identify areas of distress on the road. The insights can be gathered in real time and downloaded to other vehicles roaming in a specific area, which might give drivers a heads-up to poor road conditions and improve safety.

Virtualization 215

Virtualization Mobile Company Transportation 215

CTOvision

DECEMBER 1, 2015

Today, we are amidst the third industrial revolution that is driven by IoT and Big Data analytics. See how industrial automation is being accelerated through machine learning. The result of this revolution is disruptive new business models. About the Speakers: Grant Bodley, GM Global Manufacturing Solutions, Hortonworks.

IoT 60

IoT Industry Fractional CTO Big Data 60

Capgemini

JUNE 14, 2023

RIC employs real-time network data collection, analytics, and optimization algorithms to optimize the network dynamically. RIC utilizes advanced analytics, machine learning, and AI techniques to automate network optimization, resource management, and fault detection. More details here.

Innovation 52

Innovation Engineering Energy Network 52

KitelyTech

FEBRUARY 24, 2023

They are being used in areas such as artificial intelligence-based automation, analytics, machine learning, natural language processing, computer vision, robotics engineering, and autonomous systems. AI has been leveraged in various industries such as healthcare, finance, automotive, and, more recently, in the food industry.

Artificial Inteligence 52

Artificial Inteligence Industry Artificial Intelligence Technical Review 52

Perficient

SEPTEMBER 27, 2023

Java comes with a magnitude of libraries for machine learning such as Deeplearning4j. Furthermore , one should note that Java is best for big data analytics, real-time applications and enterprise level applications.

Applications 52

Applications Artificial Inteligence Comparison Machine Learning 52

Trigent

APRIL 14, 2022

The solution came in the form of an Intelligent Edge solution from FogHorn that makes complex machine learning modules run on highly constrained devices. When Ducati, a global automotive giant, undertook a data center modernization project, they expected gains, but that was not how it turned out.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Perficient

DECEMBER 2, 2022

Part of the data is (selectively) copied to a message broker for event-driven services, streaming analytics. Messages are also (selectively) transferred to the cloud for analytics and global integration. AWS Sitewise Edge is great to monitor devices on location, and run/visualize simple analytics. Self-Managed. Streaming Data.

IoT 69

IoT Systems Review Software Review Industry 69

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

Xicom

DECEMBER 10, 2018

Machine Learning and Artificial Intelligence. Apple’s Siri shows why machine learning and artificial intelligence are very much part of mobile apps and they will progress more. There is a rise in demand for machine learning and AI in the form of virtual assistants and chatbots and this is what people are waiting for. ?

Mobile 40

Mobile Artificial Inteligence Trends Development 40

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.

Retail 86

Retail Technical Review Apparel Analytics 86