Paul DeBeasi

JANUARY 30, 2019

Machine learning projects are inherently different from traditional IT projects in that they are significantly more heuristic and experimental, requiring skills spanning multiple domains, including statistical analysis, data analysis and application development. Four Options for Integrating Machine Learning with IoT.

Machine Learning 56

Machine Learning IoT Experimentation Statistics 56

CIO Business Intelligence

MAY 8, 2024

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

Data Integration 79

Data Integration IoT Cost-Benefit Data Quality 79

CIO Business Intelligence

APRIL 12, 2024

According to a report from Indeed , a large part of this shift has come as organizations focus more on adopting AI in the workplace. Even as the IT job market experiences shifting dynamics, employment website Indeed reports a range of roles have maintained resiliency and even grown in demand.

Deep Learning 124

Deep Learning IT Machine Learning IoT 124

Cloudera

DECEMBER 7, 2022

The data innovation that I was most excited to learn about though is the implementation of a human-in-the-loop (HITL) machine learning (ML) solution to assist referees in more accurately calling offsides. What is human-in-the-loop machine learning? A world-class machine learning solution.

Machine Learning 73

Machine Learning Modeling IoT Reporting 73

CIO Business Intelligence

MARCH 6, 2024

Manufacturing in particular has become a bigger target for bad actors; in fact, it was one of the sectors most impacted by extortion attacks, according to Palo Alto Networks’ 2023 Unit 42 Extortion and Ransomware Report. investments because they deal with the security barriers that tend to slow down IoT, 5G, and SD-WAN adoption.

ROI 124

ROI Manufacturing Cost-Benefit IoT 124

Smart Data Collective

DECEMBER 20, 2019

As the Internet of Things (IoT) becomes smarter and more advanced, we’ve started to see its usage grow across various industries. Adoption is certainly ramping up, and the technologies that support IoT are also growing more sophisticated — including big data, cloud computing and machine learning.

IoT 58

IoT Internet of Things Measurement Reporting 58

AWS Big Data

MAY 28, 2024

Now get ready as we embark on the second part of this series, where we focus on the AI applications with Kinesis Data Streams in three scenarios: real-time generative business intelligence (BI), real-time recommendation systems, and Internet of Things (IoT) data streaming and inferencing.

IoT 63

IoT Analytics Dashboards Data-driven 63

Smart Data Collective

AUGUST 19, 2019

All types of business use IoT very actively now, by 2022 the expenses in this sphere will reach $1 trillion. If someone had created an IoT security indicator, this device would have long been flashing red. If someone had created an IoT security indicator, this device would have long been flashing red. How real is the danger?

IoT 71

IoT Manufacturing Internet of Things Machine Learning 71

Rocket-Powered Data Science

JULY 21, 2023

When I reviewed highlights from last year’s Splunk.conf22 conference in my summary report at that time, I focused a lot on the Splunk Observability Cloud and its incredible suite of Observability and Monitoring products and services. automation of the first two type of hunts, using AI and machine learning).

Machine Learning 190

Machine Learning Metrics Reporting Internet of Things 190

BizAcuity

MARCH 1, 2019

IoT is basically an exchange of data or information in a connected or interconnected environment. AI is about simulating intelligent behavior in machines that carry out tasks ‘smartly’. AI tries to imitate natural human intelligence or the cognitive functions that humans perform using their mind such as learning and problem-solving.

IoT 56

IoT Internet of Things Big Data Data-driven 56

CIO Business Intelligence

NOVEMBER 7, 2022

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. Are they ready to transform business processes with machine learning capabilities, or will they slow down investments at the first speed bump?

Machine Learning 128

Machine Learning Data Science Experimentation IoT 128

Rocket-Powered Data Science

OCTOBER 6, 2023

There are other dimensions of analytics that tend to focus on hindsight for business reporting and causal analysis – these are descriptive and diagnostic analytics, respectively, which are primarily reactive applications, mostly explanatory and investigatory, not necessarily actionable. ” “Just 26.5% ” “91.9%

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

CIO Business Intelligence

JUNE 2, 2022

Hot technologies for banks also include 5G , natural language processing (NLP) , microservices architecture , and computer vision, according to Forrester’s recent Top Emerging Technologies in Banking In 2022 report. Almost 33% of respondents claim that machine learning can lead to improved customer experience.

Predictive Analytics 144

Predictive Analytics Technology Analytics Machine Learning 144

IBM Big Data Hub

APRIL 22, 2024

We believe there are three core areas that every organization should focus on: sustainability strategy and reporting; energy transition and climate resilience; and intelligent asset, facility and infrastructure management. Using AI, business teams can “clean” data, manage through gaps, and report across different frameworks.

IoT 80

IoT Internet of Things Cost-Benefit Reporting 80

Rocket-Powered Data Science

JULY 19, 2023

Accompanying the massive growth in sensor data (from ubiquitous IoT devices, including location-based and time-based streaming data), there have emerged some special analytics products that are growing in significance, especially in the context of innovation and insights discovery from on-prem enterprise data sources.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

CIO Business Intelligence

JUNE 20, 2022

To date, the company, which primarily manufactures elevators for corporate buildings but also has some residential units in its portfolio, also reports a reduction in technician site visits of between 10% and 15% and a drop in call backs of between 10% and 20%. That’s where a lot of the artificial intelligence and machine learning is applied.

Internet of Things 105

Internet of Things IoT Manufacturing Data Lake 105

Rocket-Powered Data Science

JULY 7, 2019

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Examples: (1-3) All those applications shown in the definition of Machine Learning. (4) Industry 4.0

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

CIO Business Intelligence

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).

IoT 116

IoT Manufacturing Digital Transformation Internet of Things 116

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. According to a recent McKinsey report , digitized underwriting can improve loss ratios three to five points. Step two: expand machine learning and AI.

Analytics 99

Analytics Insurance IoT Risk 99

Rocket-Powered Data Science

JULY 14, 2023

The criticality of these synergies becomes obvious when we recognize analytics as the products (the outputs and deliverables) of the data science and machine learning activities that are applied to enterprise data (the inputs).

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

IBM Big Data Hub

FEBRUARY 7, 2024

Advanced technologies, more stringent reporting standards and stronger support from stakeholders are building momentum for eco-friendly initiatives and the incentives that encourage them. Sustainability reporting: Accountability on the record This may be the biggest year yet in sustainability reporting.

Reporting 93

Reporting Internet of Things Cost-Benefit Data-driven 93

IBM Big Data Hub

APRIL 19, 2024

This approach provides actual real data points for ESG reporting instead of model-based assumptions, which helps reduce carbon footprint and achieve sustainability goals. This also prevents expensive machine downtime, production deferment and potential safety or environmental risks.

Management 89

Management Internet of Things Risk IoT 89

Cloudera

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. Navistar relies on predictive maintenance, which leverages IoT and data analytics to predict and prevent breakdowns of commercial trucks and school buses. “We

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

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

Smart Data Collective

OCTOBER 16, 2023

Financial data (invoices, transactions, billing data) and internal and external documents (reports, business letters, production plans, and so on) are examples of this. IoT Sensors generate IoT data. Big data is generated primarily by three sources: Business Companies generate massive amounts of data daily.

Big Data 101

Big Data IoT Cost-Benefit Advertising 101

CIO Business Intelligence

MAY 6, 2022

Nearly two-thirds of manufacturers globally already use cloud solutions, according to consulting firm McKinsey, and marketing intelligence company ReportLinker reports that the global smart factory market — consisting of companies using technology such as IoT — is expected to reach $214.2 billion by 2026.

Manufacturing 139

Manufacturing Analytics Machine Learning IoT 139

IBM Big Data Hub

MARCH 8, 2024

Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer. As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially.

IoT 103

IoT Broadcasting Internet of Things Technology 103

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

FEBRUARY 29, 2024

By integrating smart grids and Internet of Things (IoT) devices, businesses can better manage their energy use. Meeting compliance and sustainability reporting requirements : Using renewable energy can help businesses meet mandatory reporting requirements and contribute to local and international goals in the fight against climate change.

IoT 100

IoT Internet of Things Optimization Manufacturing 100

CIO Business Intelligence

APRIL 30, 2024

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. It’s like having a mini data center right where the action happens.IDC reports worldwide spending on edge computing is expected to reach $232 billion in 2024, an increase of 15.4% over 2023 2.

Forecasting 98

Forecasting Optimization Advertising IoT 98

CIO Business Intelligence

DECEMBER 28, 2023

While many leaders had been practicing green IT for years, as of 2023, it became imperative to measure it, quantify it, and report on it,” says Herringshaw. Procter & Gamble also used IoT and machine language models to implement new solutions on their manufacturing lines.

IT 126

IT Manufacturing Machine Learning IoT 126

CIO Business Intelligence

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. AI is the perception, synthesis, and inference of information by machines, to accomplish tasks that historically have required human intelligence.

Data Strategy 113

Data Strategy Strategy Machine Learning Data-driven 113

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

Business Over Broadway

MAY 22, 2019

IoT Artificial Intelligence. Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration. Learn the basics of analytics; take a course in data science; this type of knowledge will help you understand the value of data and how AI/Machine Learning works.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

IBM Big Data Hub

MARCH 14, 2024

5G has been hailed as a disruptive technology, comparable to artificial intelligence (AI ), machine learning (ML) and the Internet of Things (IoT) in terms of the kinds of change it will bring about. More specifically, 5G will continue to do the following: Add to the number of IoT devices used to remotely monitor patient health.

Technology 60

Technology IoT Cost-Benefit Internet of Things 60

CIO Business Intelligence

NOVEMBER 15, 2022

Artificial Intelligence, Digital Transformation, Innovation, Machine Learning But released the next day, the 2023 Gartner CIO and Technology Executive Survey revealed that EMEA-based CIOs expect IT budgets to increase 4.4% on average over the next year, somewhat lower than the projected 6.5% global inflation rate.

Digital Transformation 141

Digital Transformation Experimentation Risk Metrics 141

CIO Business Intelligence

APRIL 14, 2022

Across ESG initiatives, IT leaders can find areas to selectively deploy digital technologies like IoT devices to enable efficient, automated data collection and standard reporting. For example, a client in the oil and gas sector recently equipped their U.S. Smarter operations through integrated data and analytics.

Strategy 110

Strategy Digital Transformation IoT Measurement 110