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)

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

IBM Big Data Hub

APRIL 22, 2024

To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. The world is behind on addressing climate change.

IoT 80

IoT Internet of Things Cost-Benefit Reporting 80

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’. As IoT devices generate large volumes of data, AI is functionally necessary to make sense of this data.

IoT 56

IoT Internet of Things Big Data Data-driven 56

IBM Big Data Hub

JANUARY 15, 2024

Companies are rethinking their business models to become more digital and competitive. Digital transformation trends that drive a competitive advantage Trend: Artificial intelligence and machine learning We’re entering year two of widespread adoption of generative AI tools.

Digital Transformation 73

Digital Transformation Internet of Things IoT Consulting 73

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 119

IoT Manufacturing Digital Transformation Internet of Things 119

Cloudera

AUGUST 4, 2021

Historically, maintenance has been driven by a preventative schedule. 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. The key is active and ongoing monitoring of prognostic health data.

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

CIO Business Intelligence

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company.

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven.

Data Lake 87

Data Lake IoT Internet of Things Data-driven 87

AWS Big Data

APRIL 11, 2023

Such a solution should use the latest technologies, including Internet of Things (IoT) sensors, cloud computing, and machine learning (ML), to provide accurate, timely, and actionable data. Finally, we can use Amazon SageMaker to build forecasting models that can predict inventory demand and optimize stock levels.

Forecasting 78

Forecasting Management IoT Data-driven 78

CIO Business Intelligence

DECEMBER 28, 2023

The generative aspects of ChatGPT almost seemed like magic to many, as these models created new written, audio, and visual content right before their eyes,” says Chris Herringshaw, global CIO of Janus Henderson, the British-American global asset management group. “All Cloud was also high on CIO agendas. Cretella agrees.

IT 128

IT Manufacturing Machine Learning IoT 128

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

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. In the US, Aggio, founded in 2016, offers a cloud-based sales and market-intelligence platform.

B2B 105

B2B Contextual Data IoT Deep Learning 105

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

IBM Big Data Hub

FEBRUARY 7, 2024

These efforts are often driven by stakeholder expectations, regulatory requirements and the recognition that sustainable business practices can improve the bottom line. 2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data. trillion to the global economy by 2050.

Reporting 93

Reporting Cost-Benefit Internet of Things Data-driven 93

Corinium

JUNE 6, 2019

Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. The data will enable companies to provide more personalized services and product choices.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

IBM Big Data Hub

AUGUST 22, 2023

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. Traditional AI models versus foundation models These capabilities can help to continuously determine the state of the physical object.

Unstructured Data 77

Unstructured Data Consulting Visualization IoT 77

CIO Business Intelligence

APRIL 14, 2022

The ability to provide transparent, data-driven insights and measure progress toward ESG commitments makes the technology leader critical to the success of any ESG strategy. Smarter operations through integrated data and analytics. Smarter operations through integrated data and analytics.

Strategy 111

Strategy Digital Transformation IoT Measurement 111

CIO Business Intelligence

JUNE 16, 2022

By George Trujillo, Principal Data Strategist, DataStax. Any enterprise data management strategy has to begin with addressing the 800-pound gorilla in the corner: the “innovation gap” that exists between IT and business teams. This scarcity of quality data might feel akin to dying of thirst in the middle of the ocean.

IT 135

IT Experimentation IoT Data-driven 135

CIO Business Intelligence

OCTOBER 1, 2022

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs. Smart manufacturing at scale.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

CIO Business Intelligence

MAY 3, 2022

A couple of decades ago, when nearly all centralized computing ran in data centers, companies began talking about how to accelerate decision-making and reduce latency issues that frustrated users (commonly referred to as the “world wide wait”). The speed of transition. But that also means 5 million welds to inspect each day.

Software 96

Software Internet of Things IoT Manufacturing 96

CIO Business Intelligence

JUNE 30, 2023

It’s well acknowledged that data, when used correctly, has the potential to be a strategic growth asset driving innovation – and with the recent developments in large language models (LLM) for AI, data is really having its day in the sun. And we’ll let you in on a secret: this means nailing your data strategy.

Internet of Things 104

Internet of Things Strategy Data Strategy Risk 104

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. DL models can improve over time through further training and exposure to more data. These technologies enable systems to interact, learn from interactions, adapt and become more efficient.

Enterprise 100

Enterprise Interactive Data-driven Key Performance Indicator 100

DataRobot Blog

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). These initiatives utilize interconnected devices and automated machines that create a hyperbolic increase in data volumes. High-level example of a common machine learning lifecycle.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

CIO Business Intelligence

JUNE 5, 2023

They are connected industrial and Internet of Things (IoT) experiences that drive optimization of operational productivity and flexibility without compromising security. Plant operators use predictive monitoring to keep connected machines from breaking down, increasing uptime and product output. The journey is well underway.

Internet of Things 97

Internet of Things Cost-Benefit Manufacturing IoT 97

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. Luckily, today’s data management approaches aren’t limited by traditional constraints like location or data patterns.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

Cloudera

SEPTEMBER 18, 2020

In Part Two they will look at how businesses in both sectors can move to stabilize their respective supply chains and use real-time streaming data, analytics, and machine learning to increase operational efficiency and better manage disruption. The 6 key takeaways from this blog are below: 6 key takeaways.

Manufacturing 81

Manufacturing IoT Forecasting Machine Learning 81

CIO Business Intelligence

MAY 11, 2022

Climate change concerns have already impacted data center strategies. Take Singapore as an example, where climate change concerns have already impacted data center strategies. We know that for years businesses have built excess capacity into their data center and cloud resources to ensure capacity needs are met at any moment.

Strategy 98

Strategy Digital Transformation Cost-Benefit Machine Learning 98

FineReport

AUGUST 4, 2021

Emerging technologies are changing the way companies collect and extract available insights from data. More and more companies use data to drive their decisions. Provide a new way of data discovery. This is different from any previous ways of collecting data. Everything can be digitized. Predictive business analysis.

Business Intelligence 98

Business Intelligence Data-driven Dashboards Internet of Things 98

erwin

JUNE 11, 2020

What Is Data Intelligence? Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. Data intelligence can encompass both internal and external business data and information. Healthcare.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

CIO Business Intelligence

FEBRUARY 14, 2024

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. Data due diligence Generative AI especially has particular implications for data security, Mann says.

IT 143

IT Metadata Data-driven Management 143

CIO Business Intelligence

MARCH 11, 2022

Today, manufacturers are using newer tools like robotics, machine learning, and artificial intelligence (AI) to achieve similar goals. In addition to 5G, manufacturers are implementing AI-driven tools to increase efficiency and quality in their assembly lines. The Many Ways 5G Aids the Manufacturing Process 1.

Manufacturing 120

Manufacturing IoT Reporting Data-driven 120

Cloudera

DECEMBER 20, 2022

Efficient use of data will therefore be critical to improving the competitiveness and productivity of assets, both traditional and renewable generation. Data efficiency in renewables. Effective use of data can have a direct impact on the cash flow of wind and solar generation companies in areas such as real-time decision making.

Optimization 80

Optimization Data Analytics Analytics Cost-Benefit 80

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Data Processing 83

Data Processing IoT Cost-Benefit Digital Transformation 83

Cloudera

AUGUST 3, 2021

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed. Improve Visibility within Supply Chains.

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

Sisense

JUNE 12, 2019

At Sisense, our mission is to empower users of all kinds with deep insights from even the most complex data. Soon after, we announced the release of Sisense Hunch which provides the ability to transform even the most massive data sets into a deep neural net which can be placed anywhere, even on an IoT device. Back to my session.

Analytics 75

Analytics Data-driven Dashboards IoT 75

CIO Business Intelligence

AUGUST 9, 2023

Digital transformation became a key strategic initiative in the mid-2010s, as mobile communications, cloud, data analytics, and other advanced information technologies took off, enabling businesses and consumers to easily engage via digital channels. Next, “Horizon 2 is about innovating business models.

Digital Transformation 137

Digital Transformation Strategy Data-driven Consulting 137

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI.

Digital Transformation 65

Digital Transformation Machine Learning Optimization Data Lake 65