CIO Business Intelligence

APRIL 22, 2022

Given the current shortage of data science talent, many organizations are building out programs to develop internal data science talent. Organizations need data scientists and analysts with expertise in techniques for analyzing data. Data science teams. Data science is generally a team discipline.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

Smart Data Collective

AUGUST 7, 2019

Big data has the power to transform any small business. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. Using Big Data to Fix Your Biggest Problems as a Business Owner.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

IBM Big Data Hub

APRIL 1, 2024

Now, enterprises can adopt the foundational principles of this technology and apply them within their operations, further enriched by contextualization and security. With IBM watsonx™ Assistant, companies can build large language models and train them using proprietary information, all while helping to ensure the security of their data.

Predictive Analytics 81

Predictive Analytics Sales Enterprise Predictive Modeling 81

CIO Business Intelligence

OCTOBER 13, 2023

Businesses are turning to gen AI to streamline business processes, develop proprietary AI technology, and reduce manual efforts in order to free up employees to take on more intensive tasks. For most companies, AI systems rely on large datasets, which require the expertise of data scientists to navigate.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Smart Data Collective

APRIL 21, 2022

This explains the growing number of solar companies turning to big data. To optimize solar farm operations, the farm will require the incorporation of IoT technologies. The IoT technologies enable the integration of more distributed resources into the grid. It improves asset performance.

IoT 99

IoT Internet of Things Forecasting Predictive Modeling 99

IBM Big Data Hub

NOVEMBER 29, 2023

.” No-code and low-code solutions for time series data exploration IBM introduced Downer to the realm where no-code and low-code solutions could build predictive models to provide faster insights. Downer was able to streamline modeling times with watsonx.ai “These tools offer an array of analytics options.

Predictive Modeling 67

Predictive Modeling Data-driven Data Science Forecasting 67

IBM Big Data Hub

MAY 17, 2024

And these technologies provide brands with intelligent tools, enabling more productivity and efficiency than was possible even five years ago. AI models analyze vast amounts of data quickly and accurately. Today the technology’s advanced capabilities encourage widespread adoption.

B2B 68

B2B Interactive Optimization Forecasting 68

BizAcuity

APRIL 1, 2023

1] With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. There are a number of open-source ML platforms like KNIME that can also be leveraged to detect and predict suspicious behavior.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

IBM Big Data Hub

JANUARY 25, 2024

We all want to see our ideal human values reflected in our technologies. We expect technologies such as artificial intelligence (AI) to not lie to us, to not discriminate, and to be safe for us and our children to use. Consider the diversity prediction theorem. In reality, a holistic, socio-technical approach is required.

Predictive Modeling 87

Predictive Modeling Modeling Risk Statistics 87

CIO Business Intelligence

JULY 26, 2023

As for Keller Williams, Chief Technology and Digital Officer Chris Cox sees the cloud as an engine for innovation. “We Re/Max’s data chief says he approaches data management in several ways, from streaming MLS data through big data technologies stored in Snowflake, to storing data in relational database data stores. “We

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

IBM Big Data Hub

MAY 1, 2023

Along with the explosion of information technology in the 1950’s, the term ‘artificial intelligence’ (AI) was coined by John McCarthy in 1956. The early versions of AI were capable of predictive modelling (e.g., AI is still an emerging technology and the road to implementation will have challenges.

Insurance 79

Insurance Predictive Modeling Cost-Benefit Statistics 79

IBM Big Data Hub

MAY 18, 2023

This report outlines the combination of traditional decision automation tools with machine learning models and other technologies. ” “IBM has strengths in decision intelligence technologies, authoring tools, explainability, and ModelOps.”

Reporting 91

Reporting Scorecard Predictive Modeling Machine Learning 91

BizAcuity

JANUARY 18, 2023

With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. Predictive modeling for flagging suspicious activity. Steps to building a highly accurate predictive model for AML.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smart Data Collective

JULY 10, 2019

Big data is changing the nature of healthcare. One of the biggest developments was the implementation of the Medical Information Mart for Intensive Care , which took data from 50,000 patients dating back to 2001. Big data will have an even more profound impact in the near future. It is not the only challenge ahead.

Big Data 71

Big Data Measurement Predictive Modeling Manufacturing 71

IBM Big Data Hub

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

IBM Big Data Hub

AUGUST 22, 2023

Digital twins and integrated data For the presentation layer, you can leverage various capabilities, such as 3D modeling, augmented reality and various predictive model-based health scores and criticality indices. At IBM, we strongly believe that open technologies are the required foundation of the digital twin.

Unstructured Data 78

Unstructured Data Consulting Visualization IoT 78

CIO Business Intelligence

JUNE 7, 2022

It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics vs. business analytics.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

IBM Big Data Hub

MAY 6, 2024

Optimize protocols using historical and synthetic data Complex and stringent protocols are notorious for delaying clinical trials and eroding patient engagement. Diving deep into historical trial data with a protocol complexity rating also reveals golden insights, especially around patient-centric elements.

Advertising 84

Advertising Data-driven Optimization Strategy 84

CIO Business Intelligence

JUNE 20, 2022

Otis One’s cloud-native platform is built on Microsoft Azure and taps into a Snowflake data lake. IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling. based company’s elevators smarter.

Internet of Things 105

Internet of Things IoT Manufacturing Data Lake 105

IBM Big Data Hub

OCTOBER 5, 2022

Choosing the right technology to support xP&A for your strategic goals. With the right technology-foundation in place, it becomes easier to tackle the business alignment questions, starting with designing an end-to-end integrated business planning process that will lead efficiently to a consensus forecast (or plan).

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

IBM Big Data Hub

MAY 16, 2023

These processes are becoming more complex as AI and automation eliminate the tasks that can be executed through technology, leaving only the most challenging work behind. IBM Consulting offers managed marketing services that help clients improve their customer journeys by bringing together strategy, experience, technology and operations.

Marketing 72

Marketing Management Optimization Cost-Benefit 72

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe.

Risk 111

Risk Modeling IT Risk Management 111

O'Reilly on Data

JUNE 18, 2019

A recent O’Reilly survey found that those with mature AI practices (as measured by how long they’ve had models in production) cited “Lack of data or data quality issues” as the main bottleneck holding back further adoption of AI technologies. The problem is even more magnified in the case of structured enterprise data.

Machine Learning 255

Machine Learning Data Quality Statistics Modeling 255

CIO Business Intelligence

APRIL 25, 2022

Data Science Dojo. Data Science Dojo is one of the shortest programs on this list, but in just five days, Data Science Dojo promises to train attendees on machine learning and predictive models as a service, and each student will complete a full IoT project and have the chance to enter a Kaggle competition.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

IBM Big Data Hub

FEBRUARY 14, 2024

McDonald’s is building AI solutions for customer care with IBM Watson AI technology and NLP to accelerate the development of its automated order taking (AOT) technology. Banks and other lenders can use ML classification algorithms and predictive models to suggest loan decisions.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

Smart Data Collective

MAY 17, 2021

Big data is at the heart of the digital revolution. Basing fleet management operations on data is not new, and in some ways, it’s always been a part of the industry. Basing fleet management operations on data is not new, and in some ways, it’s always been a part of the industry. Organizations have already realized this.

Big Data 100

Big Data Cost-Benefit IoT Machine Learning 100

Smart Data Collective

MAY 23, 2021

Rodrigo Liang is CEO of SambaNova, which provides both hardware and software to businesses for the purpose of analyzing data. While this can be classed as data science, one difference is that data science tends to use a predictive model to make its analysis, while AI can be capable of analyzing based on learned knowledge and facts.

Data Science 99

Data Science Cost-Benefit Statistics Predictive Modeling 99

IBM Big Data Hub

JUNE 29, 2023

This information is then used to build predictive models of an asset’s performance over time and help spot potential problems before they arise. One of the ways maintenance managers refine and improve predictive analytics to increase asset reliability is through the creation of a digital twin.

Cost-Benefit 84

Cost-Benefit Measurement Management Predictive Analytics 84

IBM Big Data Hub

OCTOBER 16, 2023

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. Foundation models can use language, vision and more to affect the real world. ” Are foundation models trustworthy?

Risk 74

Risk Modeling Management Metadata 74

Smart Data Collective

SEPTEMBER 30, 2021

It’s no secret that artificial intelligence and technology has been developing quickly in recent times, with applications such as CAPTCHA that prevent bots from accessing sites, thermostats that adapt to our daily schedules or even algorithms that could choose potential vacation destinations for us. Wildlife Conservation.

Machine Learning 120

Machine Learning Cost-Benefit Optimization Forecasting 120

Analytics Vidhya

APRIL 25, 2023

Introduction Since India gained independence, we have always emphasized the importance of elections to make decisions. Seventeen Lok Sabha Elections and over four hundred state legislative assembly elections have been held in India. Earlier, political campaigns used to be conducted through rallies, public speeches, and door-to-door canvassing.

Analytics 271

Analytics Predictive Modeling Big Data Technology 271

IBM Big Data Hub

AUGUST 14, 2023

Clearly, organizations today need new technologies and approaches to stay ahead of attackers and the latest threats. As one of the most established threat management solutions available, QRadar’s mature AI/ML technology delivers accuracy, effectiveness and transparency to help eliminate bias and blind spots.

Cost-Benefit 58

Cost-Benefit Machine Learning Consulting Data mining 58

AWS Big Data

MARCH 7, 2023

Data inbound This section consists of components to process and load the data from multiple sources into data repositories. ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar.

Analytics 75

Analytics Data Warehouse Data Lake Metadata 75

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Deep Learning 167

O'Reilly on Data

SEPTEMBER 19, 2023

” That came to mind when a friend raised a point about emerging technology’s fractal nature. Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” I am wired to constantly ask “what’s next?”

Machine Learning 243

Machine Learning Testing Modeling Cost-Benefit 243

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. Data Champions . Data Security & Governance.

Internet Publishing and Broadcasting 121

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 121