Data Science 101

FEBRUARY 29, 2020

Azure Sphere for IoT security goes GA This is a comprehensive security solution for IoT. AWS Deep Learning Containers Updated They now have the latest versions of Tensorflow (1.15.2, Women in Data Science Livestream This is a conference with a ton a great speakers. The event is Monday, March 2, 2020 at 9am PST.

Data Science 106

Data Science IoT Deep Learning IT 106

IBM Big Data Hub

APRIL 22, 2024

Energy transition and climate resilience Applying AI and IoT to accelerate the transition to sustainable energy sources There is a clear need (link resides ibm.com) to accelerate the transition to low-carbon energy sources and transform infrastructures to build more climate-resilient organizations.

IoT 86

IoT Internet of Things Cost-Benefit Reporting 86

CIO Business Intelligence

FEBRUARY 22, 2024

Since its creation over five years ago, the Digital Hub has included a team of experts in innovation, technologies, and trends — such as IoT, big data, AI, drones, 3D printing, or advances in customer experience — who work in concert with other business units to identify and execute new opportunities.

IT 105

IT Digital Transformation IoT Cost-Benefit 105

O'Reilly on Data

SEPTEMBER 12, 2018

Von Neumann to deep learning: Data revolutionizing the future. Jeffrey Wecker offers a deep dive on data in financial services, with perspectives on data science, alternative data, the importance of data centricity, and the future of machine learning and AI. The missing piece.

IoT 141

IoT Machine Learning Deep Learning Data Science 141

bridgei2i

FEBRUARY 21, 2020

Deep learning provides an edge over your competition. Using machine learning and historical data, future trends and patterns can be predicted depending on your area of concern. As companies work towards becoming digital enterprises, there’s a thrust on developing machine learning models that leverage NLP, CV, RL, etc.

IoT 83

IoT Analytics Deep Learning B2B 83

O'Reilly on Data

FEBRUARY 4, 2019

Deep Learning. We are beginning to see interesting industrial IoT applications and systems. The good news is that companies are beginning to build foundational technologies (described in Figure 1) that will be essential in a world where the number of machine learning models and AI applications explode.

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

Domino Data Lab

MARCH 3, 2023

Domino Data Lab’s unified data science platform supports the underlying technologies that can make technologies like deep generative AI, computer vision, and IoT real for enterprises. Last October, Domino showed the industry the future of AI across the hybrid- and multi-cloud with Domino Nexus.

IoT 52

IoT Deep Learning Data Science Reporting 52

Smart Data Collective

DECEMBER 1, 2022

The growth in edge computing is mainly due to the increasing popularity of Internet of Things (IoT) devices. The two most common types of algorithms are deep learning and machine translation. Edge computing is processing data at the edge of a network, or on the device itself rather than in a centralized location.

Big Data 141

Big Data Internet of Things Data-driven IoT 141

CIO Business Intelligence

APRIL 11, 2022

IoT technologies enable planners to deploy energy-efficient streetlights that detect human presence and consume energy only when needed. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Just starting out with analytics?

IoT 145

IoT Measurement Cost-Benefit Deep Learning 145

Data Science 101

FEBRUARY 7, 2020

Azure IoT Cental has updated pricing Azure Cognitive Services Translator supports new languages Irish, Punjabi, Malayalam, Kannada, and Portuguese Google Cloud Documentation Portal gets a new look While not an update to features, the documentation should now be easier to find and understand.

Data Science 90

Data Science IoT Deep Learning Modeling 90

CIO Business Intelligence

SEPTEMBER 7, 2022

The second layer, Data Hub, can ingest data from a variety of sources including on-farm devices, drones, IoT devices and satellites. These applications can also aid nutrition management as well as deforestation and carbon-emissions management, and help farmers adopt regenerative agriculture and climate-safe practices, the company said.

B2B 105

B2B Contextual Data IoT Deep Learning 105

CIO Business Intelligence

APRIL 25, 2022

The course includes instruction in statistics, machine learning, natural language processing, deep learning, Python, and R. Due to the short nature of the course, it’s tailored to those already in the industry who want to learn more about data science or brush up on the latest skills. Remote courses are also available.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Paul DeBeasi

FEBRUARY 14, 2019

Few data-driven technologies provide greater opportunity to derive value from Internet of Things (IoT) initiatives as machine learning. As the number of IoT endpoints proliferate, the need for organizations to understand how to design systems that integrate machine learning inference with IoT will grow rapidly.

IoT 49

IoT Internet of Things Machine Learning Deep Learning 49

Corinium

JUNE 6, 2019

In the long run, we see a steep increase in the proliferation of all types of data due to IoT which will pose both challenges and opportunities. The use of newer techniques, especially Machine Learning and Deep Learning, including RNNs and LSTMs, have high applicability in time series forecasting.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

JANUARY 13, 2023

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. In my view, there are two key interrelated developments that can shift the cybersecurity paradigm. They are: Innovations in automation.

Software 145

Software Machine Learning Behavioral Analytics Risk 145

Jet Global

AUGUST 24, 2020

IOT and other sensor-driven technologies have created a data ecosystem that is growing, changing and moving at unprecedented speeds – a landscape of living data that is constantly evolving across all businesses today. About iVEDiX. For more information, please visit the company’s website at ivedix.com.

IoT 80

IoT Analytics Deep Learning Digital Transformation 80

CIO Business Intelligence

JUNE 2, 2022

These technologies include deep learning , AI-powered robotic process automation , augmented reality , data mesh (a distributed architecture for data management), blockchain or distributed ledger technology, low-code platforms, progressive web apps , service mesh and event-driven architectures.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

Smart Data Collective

FEBRUARY 26, 2023

Tewari pointed out that “OpenAI’s GPT-3 or similar autoregressive language models that use deep learning to create human-like text.” IoT technology fuses physical items with Bluetooth and software to automate household functions. AI is also helping with a number of other fields as well.

Software 101

Software Internet of Things IoT Deep Learning 101

Domino Data Lab

MARCH 11, 2021

Here are several key considerations you should take into account when selecting a machine learning framework for your project. When you start your search for a machine learning framework, ask these three questions: Will you use the framework for deep learning or classic machine learning algorithms?

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143

Analytics Vidhya

APRIL 25, 2024

Introduction GhostFaceNets is a revolutionary facial recognition technology that uses affordable operations without compromising accuracy. Inspired by attention-based models, it revolutionizes facial recognition technology.

Visualization 308

Visualization Modeling Technology Analytics 308

Analytics Vidhya

JANUARY 29, 2024

Introduction Let’s say you have a talented friend who can recognize patterns, like determining whether an image contains a cat or a dog. Now, this friend has a precise way of doing things, like he has a dictionary in his head.

Optimization 287

Optimization Analytics IoT Deep Learning 287

bridgei2i

OCTOBER 7, 2020

The automated process can then be used to parse data sources like structured and unstructured data sources such as – IoT data, claims data, physical proofs, social data, life health data and in a variety of formats such as textual, visual, sensor-based and electronic etc. Upfront decisioning – if insured can be given insurance or not.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Integrating conversational AI into the Internet of Things (IoT) also offers vast possibilities, enabling more intelligent and interactive environments through seamless communication between connected devices.

Enterprise 107

Enterprise Interactive Data-driven Key Performance Indicator 107

Rocket-Powered Data Science

JULY 6, 2021

The Edge-to-Cloud architectures are responding to the growth of IoT sensors and devices everywhere, whose deployments are boosted by 5G capabilities that are now helping to significantly reduce data-to-action latency. 7) Deep learning (DL) may not be “the one algorithm to dominate all others” after all. will look like).

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

Insight

MARCH 5, 2019

Internet of Thing (AWS IoT) Are you looking to transition into the field of machine learning in Silicon Valley, New York, or Toronto? Apply for the upcoming June session today ( Deadline is March 25th for SV and NYC ) or learn more about the Artificial Intelligence program at Insight!

Machine Learning 71

Machine Learning Internet of Things Recreation/Entertainment IoT 71

Cloudera

SEPTEMBER 11, 2020

48% of manufacturing companies surveyed recently said they’re moving toward greater IoT integration which will allow them to better respond to real-time data and feedback and monitor broader, external datasets that they hadn’t traditionally been using. Automation opportunities. Companies are also shifting their technology investments.

Manufacturing 92

Manufacturing Forecasting Digital Transformation Sales 92

Cloudera

SEPTEMBER 12, 2018

AbbVie’s platform uses analytics and machine learning, including natural language processing, deep learning, and unsupervised learning, to proactively identify issues and opportunities. Brian Buntz , Content Director, Iot Institute, Informa, @brian_buntz. Mike Barlow , Managing Partner, Cumulus Partners.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

datapine

NOVEMBER 19, 2019

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. A study conducted by McKinsey pointed out that the potential economic impact of IoT by the year 2025 could be equivalent to 11% of the world economy.

Technology 279

Technology Internet of Things IT IoT 279

Cloudera

FEBRUARY 4, 2019

It is a key capability that will address the needs of our combined customer base in areas of real-time streaming architectures and Internet-of-Things (IoT). It meets the challenges faced with data-in-motion, such as real-time stream processing, data provenance, and data ingestion from IoT devices and other streaming sources.

IoT 74

IoT Prescriptive Analytics Digital Transformation Internet of Things 74

DataKitchen

APRIL 13, 2021

Metis Machine — Enterprise-scale Machine Learning and Deep Learning deployment and automation platform for rapid deployment of models into existing infrastructure and applications. Hitachi Vantara – Digital operations, infrastructure solutions, IOT applications, data management, and multi-cloud acceleration.

Testing 307

Testing Machine Learning Consulting Data Quality 307

CIO Business Intelligence

APRIL 12, 2022

A security infrastructure can provide a foundation which captures audio and video data, and data from IoT devices, which the computer vision system then combines and analyzes, producing insights that can be used to positively impact safety, the customer experience, operational efficiencies, sustainability and revenue generation.

IT 72

IT Cost-Benefit IoT Machine Learning 72

BizAcuity

JUNE 16, 2022

Edge computing comes as a boon for industries that depend on IoT like logistics and telecommunications. Ericsson believes that the future of IoT has the potential to be limitless. Various forecasts project a growth of over 5 billion IoT devices by 2025.

Data-driven 52

Data-driven IoT Data Processing Optimization 52

Smart Data Collective

MAY 17, 2021

A critical component of smarter data-driven operations is commercial IoT or IIoT, which allows for consistent and instantaneous fleet tracking. The global IoT fleet management market is expected to reach $17.5 A mission-critical task like maintenance can be relegated to proactive measures thanks to a steady flow of performance data.

Big Data 102

Big Data Cost-Benefit IoT Machine Learning 102

IBM Big Data Hub

MAY 17, 2023

Additionally, DaaS has the potential to leverage smart technologies such as IoT, sensors, 5G, edge analytics and machine learning to improve the monitoring and visualization of assets operations. DaaS uses built-in deep learning models that learn by analyzing images and video streams for classification.

Data Collection 85

Data Collection Visualization Data-driven Unstructured Data 85

BizAcuity

MARCH 31, 2022

Integrating IoT and route optimization are two other important places that use AI. For accurate predictions, companies now use various data models, machine and deep learning techniques to continuously improve and refine the quality of the outcome. AI in Healthcare.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

AWS Big Data

OCTOBER 26, 2023

He has experience with relational databases, multi-dimensional databases, IoT technologies, storage and compute infrastructure services and more recently as a startup founder using AI/deep learning, computer vision, and robotics. Aamer Shah is a Senior Engineer in the Amazon Redshift Service team.

Data Warehouse 93

Data Warehouse Cost-Benefit Dashboards Optimization 93

Alation

APRIL 14, 2022

They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning. Organizations launched initiatives to be “ data-driven ” (though we at Hired Brains Research prefer the term “data-aware”).

Metadata 59

Metadata Data Governance Modeling Data-driven 59