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

FEBRUARY 6, 2025

Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless. But heres the question I keep asking myself: do we really need this immense power for most of our analytics?

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

O'Reilly on Data

MARCH 24, 2020

This need will grow as smart devices, IoT, voice assistants, drones, and augmented and virtual reality become more prevalent. A bright future would see data preparation and data quality as first-class citizens in the data workflow, alongside machine learning, deep learning, and AI.

Machine Learning 364

Machine Learning Statistics Data Quality Modeling 364

CIO Business Intelligence

APRIL 12, 2024

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. It is used to execute and improve machine learning tasks such as NLP, computer vision, and deep learning.

Deep Learning 124

Deep Learning IT Machine Learning IoT 124

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

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 300

Testing Machine Learning Consulting Data Quality 300

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

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

CIO Business Intelligence

JANUARY 24, 2024

It’s the culmination of a decade of work on deep learning AI. Deep learning AI: A rising workhorse Deep learning AI uses the same neural network architecture as generative AI, but can’t understand context, write poems or create drawings. Learn more.

Deep Learning 112

Deep Learning Unstructured Data Machine Learning Modeling 112

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 145

Big Data Internet of Things Data-driven Deep Learning 145

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

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

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 Deep Learning IoT Modeling 90

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 Deep Learning 145

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 Deep Learning IoT 105

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

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

CIO Business Intelligence

JANUARY 20, 2023

And modern object storage solutions, offer performance, scalability, resilience, and compatibility on a globally distributed architecture to support enterprise workloads such as cloud-native, archive, IoT, AI, and big data analytics. Protecting the data : Cyber threats are everywhere—at the edge, on-premises and across cloud providers.

Analytics 137

Analytics Key Performance Indicator Unstructured Data Deep Learning 137

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

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

APRIL 27, 2022

With an exponentially bigger scale, nearly 75 billion Internet of Things (IoT) devices will be connected by 2025. On-demand access to deep learning services that allow engineering teams to exploit these new insights and embed them in data-driven outcomes will be critical to cross the data-first divide we see opening across organizations.

Strategy 143

Strategy Data-driven Internet of Things Measurement 143

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 73

IoT Prescriptive Analytics Internet of Things Digital Transformation 73

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 132

Big Data Cost-Benefit IoT Machine Learning 132

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

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 116

Software Internet of Things Deep Learning IoT 116

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 319

Visualization Modeling Technology Analytics 319

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 77

IoT Internet of Things Cost-Benefit Reporting 77

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 314

Optimization Analytics IoT Deep Learning 314

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.

Deep Learning 52

Deep Learning IoT Data Science Reporting 52

AWS Big Data

MAY 16, 2024

He has experience with relational databases, multidimensional databases, IoT technologies, storage and compute infrastructure services, and more recently, as a startup founder in the areas of artificial intelligence (AI) and deep learning, computer vision, and robotics.

Data Warehouse 118

Data Warehouse Visualization Cost-Benefit Data-driven 118

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 Deep Learning 52

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

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 76

Data Collection Visualization Data-driven Unstructured Data 76

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 110

Data Warehouse Cost-Benefit Dashboards Optimization 110

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

Domino Data Lab

MARCH 3, 2019

O’Reilly Media had an earlier survey about deep learning tools which showed the top three frameworks to be TensorFlow (61% of all respondents), Keras (25%), and PyTorch (20%)—and note that Keras in this case is likely used as an abstraction layer atop TensorFlow. The data types used in deep learning are interesting.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

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 95

Enterprise Interactive Data-driven Key Performance Indicator 95