Protera

NOVEMBER 8, 2022

But utility companies that want to stay ahead in the future have no choice but to do just that — transform — and cloud modernization is an essential piece to the puzzle. Cloud modernization is an investment and must be executed the right way to avoid disruption. 5 Reasons Utilities Companies Should Modernize with Cloud. #1:

Cloud 52

Cloud IoT Agile Technical Review 52

TechCrunch

AUGUST 2, 2022

xCash flows freely where it concerns enterprise analytics — the global big data and business analytics segment could be worth nearly $700 billion by 2030, depending on which analyst you place your faith in. Unsupervised, Pecan.ai

Analytics 207

Analytics Big Data Automotive Enterprise 207

TechCrunch

AUGUST 31, 2021

While Google has big business muscle behind it, Kevala has been working in this space since 2014 and is potentially poised to become an industry leader. . Kevala has first mover advantage in providing comprehensive big data analytics on grid infrastructure,” said Zulfe Ali, managing partner at C5 Capital, in a statement.

Energy 227

Energy Infrastructure Tools Systems Review 227

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

TechCrunch

JANUARY 11, 2022

For many companies, data is their greatest asset and at the same time, their largest problem. Image Credits: z_wei / Getty Images. Brian Heater: Hardware startups should reconsider their media strategies. Haje Jan Kamps: I missed it sorely this year. 3 views on CES 2022.

Technical Review 217

Technical Review Culture Software Review Part-Time VPE 217

TechCrunch

APRIL 21, 2021

But Croatia’s entrepreneurs haven’t been quiet: Startups like Infobip and Rimac are significant local hero businesses now, and the region can boast of high-quality talent in the tech, automotive, manufacturing, and agtech spaces. Miroslav Kovac , CEO, Coffee Cloud. Strong in fintech, automotive, insurtech, and AI.

Technical Review 251

Technical Review Automotive Tourism IoT 251

Apiumhub

MAY 15, 2024

Today, AI not only facilitates innovations in sectors such as healthcare, automotive, and education but also raises significant challenges and ethical issues ranging from privacy and security to socioeconomic impact and dehumanization risks. This evolution represents a shift toward more general and adaptive models in robotics.

Artificial Inteligence 81

Artificial Inteligence Artificial Intelligence Generative AI Technical Review 81

TechCrunch

MAY 18, 2021

” The Series A is being led by Microsoft’s venture fund M12 — a financial and strategic investor — with Playground Global and AME Cloud Ventures also participating. He points out that even the automotive industry, which has been automated for 50 years, still has about 6% of all work done by humans.

Artificial Intelligence 246

Artificial Intelligence Artificial Inteligence Hardware Automotive 246

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. Digital Transformation Technologies 1.

Artificial Inteligence 130

Artificial Inteligence Technical Review Artificial Intelligence Weak Development Team 130

Capgemini

MARCH 16, 2022

In contrast to the automotive industry, where almost the entire global process is automated, a significant part of aerospace operations is still manually managed. technologies (AI & analytics, cloud and edge computing, cybersecurity, 5G, IoT, and data engineering) are converging at speed.

Industry 98

Industry IoT Technical Review Automotive 98

CTOvision

NOVEMBER 15, 2016

Thanks to increasingly networked vehicles, cars of the future will then be able to collect all sorts of data about the vehicle, the roads it is driving on, your driving habits, other vehicles around you, and much more. By the year 2030, big data in cars could be a $750 billion dollar business.

Data 103

Data Big Data Automotive Guidelines 103

Cloudera

JANUARY 29, 2021

In order to enable Connected Manufacturing and emerging IIoT use cases, manufacturers need a solution that can handle all types of diverse data structures and schemas from the edge, normalize the data, and then share it with any type of data consumer including Big Data applications. . Jamie Engesser, Sr.

Industry 53

Industry Automotive Technical Review CTO Coach 53

Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. technologies.

Innovation 87

Innovation Artificial Inteligence Data IoT 87

Existek

JANUARY 11, 2022

Why is cloud computing better than traditional on-premise environments? How to select the right cloud service provider? It’ll be interesting to discover how market-leading providers set new standards and alter approaches to cloud computing. Cloud solutions have become unquestionably crucial for many industries and businesses.

Azure 52

Azure AWS Cloud How To 52

Perficient

FEBRUARY 13, 2023

The Healthy Lakehouse also borrows data and analytics modernization patterns from other industries, such as Financial Services, Automotive, and Manufacturing. distribution revenue, costs, and rebates) associated with the products it sells and delivers.

Healthcare 64

Healthcare AWS Analytics Pharmaceuticals 64

Trigent

APRIL 14, 2022

This comes with advantages such as faster response times, localized approvals saving a round trip to the central server, increased privacy, security, and reduced cloud costs. Daihen, a Japanese manufacturer of industrial electronics equipment, realized that their Osaka plant could not handle data from dozens of sensors.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

TIBCO - Connected Intelligence

SEPTEMBER 7, 2021

Today, it has grown into a top-class financial player in the automotive market, specializing in finance, leasing, insurance, and mobility. Data virtualization breaks down data silos , giving your business users one place to access, combine, and govern all your data. Reading Time: 2 minutes.

Virtualization 32

Virtualization Data Insurance Software Review 32

Xicom

NOVEMBER 19, 2020

Over the past few years, the discussions about the next year’s digital revolutions have been a call to repetition: Augmented Reality, Internet of Things, Edge Compute, Cloud technologies and the list goes on. In the past few years, the USA has focused a lot on the proliferation of analytics and Big Data. Image Source.

Mobile 98

Mobile Weak Development Team Development Blockchain 98

Capgemini

FEBRUARY 9, 2023

Big Tech is hungrily eyeing the next innovative business models, and they are in the driver’s seat as startup valuations are exploding again across the board. The answers provide strong insight into where Big Tech sees growth coming over the next decade. Automotive. So, which startups are catching their eye and their investment?

Innovation 52

Innovation B2B Culture Sustainability 52

Perficient

MARCH 6, 2023

First developed at LinkedIn in 2010, it has become one of the most widely used messaging systems for big data and real-time analytics. Kafka can process and transmit massive amounts of data in real-time, and its design ensures fault tolerance, scalability, and high availability.

Scalability 64

Scalability Big Data Analytics Applications 64

Openxcell

JUNE 21, 2022

This data migration service runs on Google cloud or aws cloud, and hence is able to access target databases as well as source databases. Companies save a lot of money on infrastructure, expertise or manpower when they shift their current database to a different technology-based database or simply go on cloud.

Tools 52

Tools Data Azure AWS 52

CTOvision

JANUARY 6, 2016

Greater data privacy issues will be exposed. The volume and type of data collected by IoT devices and stored in the cloud can expose extremely sensitive information (such as real‐time biometric and health information, personal behavior and eating habits, and location) in a variety of formats.

IoT 67

IoT Internet Authentication Automotive 67

Cloudera

SEPTEMBER 18, 2020

To find out more about how your business can better leverage big data, real-time analytics, and the cloud to manage supply chain disruption, visit our website or contact us to speak to a product expert about our intelligent Cloudera Data Platform. .

Retail 81

Retail Weak Development Team Machine Learning Artificial Inteligence 81

Cloudera

SEPTEMBER 11, 2020

To find out more about how COVID-19 has impacted the manufacturing and retail industries Vijay Raja, Director of Industry & Solutions Marketing at Cloudera sat down for a round-table discussion with Michael Ger , Managing Director of Manufacturing and Automotive, and Brent Biddulph , Managing Director, Retail and Consumer Goods at Cloudera. .

Retail 86

Retail Technical Review Apparel Analytics 86

Apiumhub

SEPTEMBER 10, 2019

Autotech is a disruptive technology that has changed the automotive sector. Nowadays, the automotive industry isn’t just about new vehicles anymore. Automakers view electrification as critical to the future of the automotive space, and are accelerating efforts to electrify their fleets. Big Data & AI.

Trends 9

Trends Automotive Artificial Intelligence Artificial Inteligence 9

InfoBest

JANUARY 30, 2018

Since it’s a Chrome extension, this tool is obviously free, but you can also use the Cloud Web Scraper – their premium version. This means you can set up a “pattern” for how the data needs to be extracted and just pass that template away to colleagues or partners. But you are surely not limited to that.

Tools 67

Tools Data How To Software 67

Perficient

JULY 6, 2023

These features are fundamental to improving and transforming your business to start looking ahead and becoming data-driven. We are a Salesforce Summit Partner with more than two decades of experience delivering digital solutions in the manufacturing, automotive, healthcare, financial services, and high-tech industries.

Technology 98

Technology Automotive Healthcare Big Data 98

Altexsoft

APRIL 13, 2023

You can read the details on them in the linked articles, but in short, data warehouses are mostly used to store structured data and enable business intelligence , while data lakes support all types of data and fuel big data analytics and machine learning.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Cloudera

SEPTEMBER 6, 2022

Entity data sets — i.e. marketing data lakes . Ad hoc projects — often set up as “shadow IT,” either on-prem or (most likely) in the public cloud. Why telco should consider modern data architecture. What is the rationale for driving a modern data architecture?

Telecommunications 83

Telecommunications Architecture Data Government 83

Hacker Earth Developers Blog

JULY 19, 2018

Recent advances in AI have been helped by three factors: Access to big data generated from e-commerce, businesses, governments, science, wearables, and social media. Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data. Automotive industry. Conclusion.

Artificial Inteligence 200

Artificial Inteligence Artificial Intelligence Applications Technical Review 200

Openxcell

OCTOBER 15, 2023

If considering a shift to the blockchain, the entire documentation process moves to the cloud, where every party involved simply needs to log on to the blockchain to verify the goods transactions and, in the end, receive payments. This leads to enhanced data control and efficiency of the operations.

Blockchain 52

Blockchain Enterprise Automotive Transportation 52

Altexsoft

JANUARY 11, 2019

A data science pipeline is a set of processes for automating data collection, preparation, visualization, modeling, and interpretation (review) to answer business questions or get informed conclusions. A typical data science pipeline. for medical imaging) and large volumes of data on various groups of people.

Artificial Inteligence 94

Artificial Inteligence Artificial Intelligence Trends Data 94

TechCrunch

JANUARY 16, 2021

Also, significant experience and know-how have been accumulated here in big data analytics. SaaS models and cloud technologies have eliminated some of the barriers for Israeli companies and enable companies to quickly set up and set up a proof of concept. Cyber, automotive. What’s your latest, most exciting investment?

Technical Review 354

Technical Review Software Review Trends Systems Review 354

TIBCO - Connected Intelligence

NOVEMBER 13, 2019

These applications are delivering data management and analytics insights and actions, across healthcare, energy, CPG, retail, high tech manufacturing, transportation and logistics. The solutions were on display at TAF, with partners deploying analytics either on-premises, in the cloud, or in a hybrid environment using the TIBCO platform.

Data 4

Data Artificial Inteligence Analytics Healthcare 4

LeanEssays

JUNE 5, 2015

In Boston, both MIT and Harvard Business School responded by launching extensive studies of the automotive industry. Clark and Fujimoto noted that the distinguishing features of Japanese product development paralleled features found in Japanese automotive production. 1990), which gave us the term “lean.”

Software Development 55

Software Development Software Review Software Development 55