TechCrunch

NOVEMBER 23, 2022

Dan LeBlanc, the CEO and co-founder of data and analytics Daasity, has written a detailed strategy guide aimed at helping marketers boost ROI and create a cohort analysis that tracks lifetime value against customer acquisition cost. ” 4 ways to use e-commerce data to optimize LTV pre- and post-holiday.

IoT 236

IoT VR Report Energy 236

CIO

JULY 17, 2023

Dickson, who joined the Wisconsin-based company in 2020, has launched PowerInsights, a homegrown digital platform that employs IoT and AI to deliver a geospatial visualization of Generac’s installed base of generators, as well as insights into sales opportunities. AI makes that data usable,” Dickson says of the platform. “We

Business Transformation 246

Business Transformation Data IoT Azure 246

Perficient

DECEMBER 2, 2022

The basic flow of data can be summarize like so: Events are emitted by IoT devices over OPC-UA or MQTT to a local broker. 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.

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IoT Industry Systems Review Software Review 69

Invid Group

NOVEMBER 5, 2023

Why Predictive Analysis Tools will be Key for Businesses in 2024 BY: INVID In today’s fast-paced and ever-evolving business landscape, staying ahead of the competition has never been more challenging. To gain a competitive edge and make data-driven decisions, companies are turning to predictive analysis tools.

Analysis 52

Analysis Tools Machine Learning Artificial Inteligence 52

CIO

JANUARY 26, 2024

Fueled by cloud Ford’s cloud journey, which began roughly a decade ago, continues to this day, Musser says, as the automaker seeks to take advantage of advances in the key technologies fueling its transformation, including the internet of things (IoT), software as a service, and the latest offerings on Google Cloud Platform (GCP).

Business Transformation 299

Business Transformation Cloud Automotive IoT 299

Cloudera

SEPTEMBER 22, 2022

To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. IoT examples such as telematics-based travel or car insurance enable a very personalized insurance policy (more on this in a prior post ). You can read more about UDD here.

Analytics 101

Analytics Data Insurance eBook 101

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

CIO

FEBRUARY 13, 2024

ClimateForce is working to regenerate the area, and NTT is helping to support this effort using its own Smart Management Platform (SMP) Technology and Analytics. At its core, the Smart Rainforest is a sophisticated network of Internet of Things (IoT) devices strategically deployed across the rainforest region.

Innovation 147

Innovation Artificial Inteligence IoT Sustainability 147

Cloudera

AUGUST 28, 2020

The real opportunity for 5G however is going to be on the B2B side, IoT and mission-critical applications will benefit hugely. What that means is that this creates new revenue opportunities through IoT case uses and new services. 5G and IoT are going to drive an explosion in data. However, the edge cannot function in a vacuum.

IoT 110

IoT Industry Machine Learning Artificial Inteligence 110

CIO

MAY 21, 2024

Defining a strategic relationship In July 2023, Dener Motorsport began working with Microsoft Fabric to get at that data in real-time, specifically Fabric components Synapse Real-Time Analytics for data streaming analysis, and Data Activator to monitor and trigger actions in real-time.

Data 317

Data Azure Engineering Analytics 317

CIO

AUGUST 9, 2024

The dashboard now in production uses Databricks’ Azure data lake to ingest, clean, store, and analyze the data, and Microsoft’s Power BI to generate graphical analytics that present critical operational data in a single view, such as the number of flights coming into domestic and international terminals and average security wait times.

Artificial Inteligence 292

Artificial Inteligence Data Machine Learning Azure 292

CIO

AUGUST 20, 2024

Implementing AI algorithms directly on local edge devices, such as sensors or Internet of Things (IoT) devices, enables local processing and analysis for real-time decision-making, and models can continue to function even when connectivity is lost. The ability to simplify management as operations scale is essential.

Artificial Inteligence 293

Artificial Inteligence Healthcare Retail Artificial Intelligence 293

CIO

JANUARY 24, 2024

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. RaceTrac is leveraging Alation’s Data Intelligence Platform to centralize data as well as provide self-service analytics for users as needed.

Strategy 340

Strategy Weak Development Team Data CTO Coach 340

Cloudera

JUNE 7, 2021

Cloudera has been named as a Strong Performer in the Forrester Wave for Streaming Analytics, Q2 2021. We are proud to have been named as one of “ The 14 providers that matter most ” in streaming analytics. CDF enables such enterprises to achieve successful digital transformations with streaming analytics. It’s too late.

Analytics 103

Analytics Performance IoT Report 103

Cloudera

APRIL 20, 2021

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. Streaming Analytics can be used in many industries: Healthcare: Monitoring hospital patients to get the latest and most actionable data to inform patient interactions better.

Analytics 95

Analytics Retail Architecture Government 95

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

Analytics 96

Analytics Network Innovation IoT 96

Cloudera

AUGUST 31, 2020

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. The stories of organizations that have adopted streaming analytics speak for themselves.

Analytics 100

Analytics Airlines Off-The-Shelf Insurance 100

Tenable

MARCH 20, 2024

Explore how Tenable One for OT/IoT helps organizations stay ahead in today's evolving threat landscape with end-to-end visibility and cyber risk prioritization across IT, OT and IoT. Traditional security measures designed for IT environments fall short when applied to the unique characteristics of OT and IoT ecosystems.

IoT 73

IoT How To Network Organization 73

CIO

JANUARY 13, 2023

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. But improved use of automation — combined with software-based advanced analytics — can help level the playing field. This includes hunting and deep, high-end analysis.

Security 363

Security Innovation Artificial Inteligence Weak Development Team 363

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. and Big Data Analytics in Predictive Maintenance Industry 4.0 IoT devices can be used to collect performance data from equipment and machinery.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

OTS Solutions

JANUARY 11, 2024

With the emergence of AI, ML, DevOps, AR VR cloud computing, the Internet of Things (IoT), data analytics, digital transformation, application modernization, and other digital technologies, IT practice in mental health therapy is undergoing significant changes. million IoT 2028 $293.10 billion AI and ML 2032 $22,384.27

Technical Review 130

Technical Review Technology VR IoT 130

Trigent

SEPTEMBER 26, 2022

At its heart, IoT encompasses the collection and analysis of data, insights, and automation of processes involving machines, people, things, and places. IoT is, therefore, a combination of sensors, actuators, connectivity, cloud and edge computing and storage, AI and ML intelligence, and security. 5G Support for IoT.

IoT 52

IoT Trends Data Center Transportation 52

Cherry Work

JULY 22, 2024

Here are some common challenges and pitfalls associated with non-digital and traditional TPM implementation approaches: Manual Data Collection and Analysis : Relies on manual data collection methods, such as paper-based forms or spreadsheets. This process is time-consuming, prone to errors, and lacks real-time visibility.

Artificial Inteligence 130

Artificial Inteligence Analysis IoT Training 130

Cherry Work

JULY 22, 2024

Here are some common challenges and pitfalls associated with non-digital and traditional TPM implementation approaches: Manual Data Collection and Analysis : Relies on manual data collection methods, such as paper-based forms or spreadsheets. This process is time-consuming, prone to errors, and lacks real-time visibility.

Artificial Inteligence 130

Artificial Inteligence Analysis IoT Training 130

AWS Machine Learning - AI

NOVEMBER 12, 2024

Widely embraced by agronomists, scientists, and R&D teams in crop input manufacturing and contract-based research organizations, Agmatix’s field trial and analysis solutions are at the forefront of agricultural innovation. Current challenges in analyzing field trial data Agronomic field trials are complex and create vast amounts of data.

Generative AI 105

Generative AI AWS Chemicals Sustainability 105

ProCal Tech

SEPTEMBER 14, 2022

9 Benefits of using IOT Technology Home September 15, 2022 Latest Technology In this article by Procal, we will be discussing briefly how IoT benefits businesses. Also, IoT devices are very helpful to manage within each department and throughout the business structure. So let’s get started.

IoT 52

IoT Technical Review Technology Telecommunications 52

Cloudera

DECEMBER 20, 2022

In this respect, several studies project that a proper use of advanced analytics implies savings of between 5% and 7.5%. For this reason, the need to have a data platform that allows for a fine-tuned analysis and prediction of supply and demand becomes a necessary tool to operate the business in a more efficient and profitable way.

Energy 80

Energy Analytics Data Machine Learning 80

CIO

DECEMBER 7, 2023

In many cases, manual and paper-based processes had been employed for analysis at disaster sites, with resulting data being siloed. The data is gathered from paper records and advanced technology such as drones, the Internet of Things (IoT), and AI, live and static.

Artificial Inteligence 270

Artificial Inteligence Tourism IoT Education 270

Trigent

NOVEMBER 3, 2022

The future of the global supply chain market lies in IoT, integrated solutions, data, and mobility. There lies the importance of data analytics. Data analytics is not new to us anymore. Logistics is a classic case in point when evaluating the impact of data analytics. The route to the future.

Analytics 52

Analytics Data IoT Trends 52

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. According to Hyperion Research , HPC-enabled AI, growing at more than 30 percent, is projected to be a $3.5 billion market in 2024.

Artificial Inteligence 246

Artificial Inteligence Industry Innovation Artificial Intelligence 246

Apps Associates

APRIL 15, 2021

If we expand the transportation of a load of product to the entire supply chain, we begin to see the tremendous impact that IoT has on the Supply Chain. With IoT, we have any detail we wish to track; from original ideation to final delivery. All projections can be modelled and shown with advanced analytics.

IoT 59

IoT Weak Development Team Analytics Virtualization 59

CIO

JUNE 12, 2024

As part of its transformation, UK Power Networks partnered with Databricks, Tata Consulting Services, Moringa Partners, and others to not only manage the cloud migration but also help integrate IoT devices and smart meters to deliver highly granular, real-time analytics.

Network 290

Network Cloud Energy Generative AI 290

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

Palo Alto Networks

JULY 10, 2024

Mehta notes: "AI is a perfect match for ingesting [internet of things] IoT data, as the devices generate such huge amounts of data that we couldn't access before, or we couldn't access in real time. Smart medical devices often lack robust privacy controls and security features, while many medical IoT devices transmit unencrypted data.

Healthcare 111

Healthcare IoT Technical Review Systems Review 111

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 98

IoT Google Cloud Scalability Microservices 98

Altexsoft

MAY 12, 2022

Particularly, we’ll explain how to obtain audio data, prepare it for analysis, and choose the right ML model to achieve the highest prediction accuracy. But first, let’s go over the basics: What is the audio analysis, and what makes audio data so challenging to deal with. What is audio analysis? Speech recognition.

Machine Learning 122

Machine Learning Artificial Inteligence Analysis Energy 122

Altexsoft

JULY 3, 2019

As we know, the IoT will enable businesses to capture more data for deep analysis while obtaining more granular control over processes. Devices connected to the IoT have been recognized for a long time as a prime target for hackers and once you have read the article to follow, you will appreciate why. This is good news.

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IoT Enterprise Software Review Technical Review 98