KDnuggets

MAY 26, 2022

Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

Data Science 160

Data Science IoT Deep Learning Machine Learning 160

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. You probably know that ChatGPT wasn’t built overnight.

Deep Learning 112

Deep Learning Unstructured Data Machine Learning Modeling 112

O'Reilly on Data

SEPTEMBER 12, 2018

Watch highlights from expert talks covering data science, machine learning, algorithmic accountability, and more. Preserving privacy and security in machine learning. Ben Lorica offers an overview of recent tools for building privacy-preserving and secure machine learning products and services. Watch " Wait.

IoT 142

IoT Machine Learning Deep Learning Data Science 142

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. It offers a bootcamp in data science and machine learning for individuals with experience in Python and coding.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

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

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

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 80

IoT Internet of Things Cost-Benefit Reporting 80

CIO Business Intelligence

JUNE 2, 2022

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

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

Paul DeBeasi

FEBRUARY 14, 2019

Few data-driven technologies provide greater opportunity to derive value from Internet of Things (IoT) initiatives as machine learning. An important development in machine learning is the emergence of machine learning inference servers (aka inference engines and inference servers).

IoT 49

IoT Internet of Things Machine Learning Deep Learning 49

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

CIO Business Intelligence

SEPTEMBER 7, 2022

Dubbed Cropin Cloud, the suite comes with the ability to ingest and process data, run machine learning models for quick analysis and decision making, and several applications specific to the industry’s needs.

B2B 105

B2B Contextual Data IoT Deep Learning 105

CIO Business Intelligence

APRIL 11, 2022

By leveraging artificial intelligence and machine learning technologies, the smart city solution also learns to identify normal patterns of activity occurring in public places. IoT technologies enable planners to deploy energy-efficient streetlights that detect human presence and consume energy only when needed.

IoT 145

IoT Measurement Cost-Benefit Deep Learning 145

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 285

Visualization Modeling Technology Analytics 285

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 100

Enterprise Interactive Data-driven Key Performance Indicator 100

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

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 243

Optimization Analytics IoT Deep Learning 243

Cloudera

SEPTEMBER 12, 2018

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Enterprise Machine Learning: . Brian Buntz , Content Director, Iot Institute, Informa, @brian_buntz. Societal Impact: .

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Rocket-Powered Data Science

JULY 6, 2021

2) MLOps became the expected norm in machine learning and data science projects. 3) Concept drift by COVID – as mentioned above, concept drift is being addressed in machine learning and data science projects by MLOps, but concept drift so much bigger than MLOps. will look like).

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. . Collaboration and Sharing.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Cloudera

SEPTEMBER 11, 2020

What they have learned is that often their legacy Machine Learning models (e.g. Much of the changes we’re seeing from retail and consumer goods leaders in terms of impact are centered around the use of data and analytics. demand forecasting) based solely on historical transaction data – really missed the mark.

Manufacturing 86

Manufacturing Forecasting Digital Transformation Sales 86

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. They indeed enable you to see what is happening at every moment and send alerts when something is off-trend. Connected Retail.

Technology 279

Technology Internet of Things IT IoT 279

AWS Big Data

MAY 16, 2024

H3 can also help create location-based profiling features for predictive machine learning (ML) models such as risk-mitigation models. H3-based analytics empower the processing and understanding of delivery data patterns, such as peak times, popular destinations, and high-demand areas.

Data Warehouse 110

Data Warehouse Visualization Cost-Benefit Optimization 110

Smart Data Collective

MAY 17, 2021

Big data solutions are often created and supported using various technologies from IIoT to machine learning and AI. 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

Big Data 100

Big Data Cost-Benefit IoT Machine Learning 100

CIO Business Intelligence

APRIL 12, 2022

In addition, safety is a key requirement across rail, water, air, and roadways, often requiring split-second decisions that can often be enhanced by machine learning. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

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

BizAcuity

MARCH 31, 2022

Tasks which include billing, scheduling, operating machines like forklifts and workforce management can be enabled with an AI-driven warehouse management system, fleet management system or freight management system. Integrating IoT and route optimization are two other important places that use AI. AI in Healthcare. AI Services.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). The data types used in deep learning are interesting.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

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

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 80

Data Collection Visualization Data-driven Unstructured Data 80

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is now able to automatically create and maintain materialized views and then transparently rewrite queries to use the materialized views using the machine-learned automated materialized view autonomics feature in Amazon Redshift. Aamer Shah is a Senior Engineer in the Amazon Redshift Service team.

Data Warehouse 98

Data Warehouse Cost-Benefit Dashboards Optimization 98

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. Streaming, IoT, and time series mature.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

CIO Business Intelligence

JANUARY 20, 2023

Modern compute infrastructures are designed to enhance business agility and time to market by supporting workloads for databases and analytics, AI and machine learning (ML), high performance computing (HPC) and more. Protecting the data : Cyber threats are everywhere—at the edge, on-premises and across cloud providers.

Analytics 137

Analytics Key Performance Indicator Unstructured Data IoT 137

O'Reilly on Data

MARCH 24, 2020

On the machine learning side, we are entering what Andrei Karpathy, director of AI at Tesla, dubs the Software 2.0 Before you even think about sophisticated modeling, state-of-the-art machine learning, and AI, you need to make sure your data is ready for analysis—this is the realm of data preparation.

Machine Learning 346

Machine Learning Statistics Data Quality Modeling 346