CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

DataKitchen

MAY 10, 2021

Advanced firms: Experiment, learn, and continuously improve the effectiveness of your IDB applications; leverage the power of machine learning (ML) to automate apps and processes to scale your IDB capabilities even further. Blog: What is DataOps ? White Paper: Launch Your DataOps Journey with the DataOps Maturity Model.

Data-driven 130

Data-driven Data Architecture Machine Learning Strategy 130

Smarten

APRIL 25, 2024

Whether you are trying to solve a business problem, get to the heart of that problem, find a business opportunity, predict the need for resources, new products or locations or understanding changes in your customer buying behavior, you don’t have time to learn complex tools or take training in analytics.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

IBM Big Data Hub

MAY 1, 2023

This wave of AI is attributable to what are known as foundation models. What are foundation models? As the name suggests, foundation models can be the foundation for many kinds of AI systems. Using machine learning techniques, these models apply information learned about one situation to another situation.

Modeling 98

Modeling Risk Machine Learning Technology 98

CIO Business Intelligence

MARCH 19, 2024

GenAI: An Experiment Practical evidence from researchers and analysts remains scant, but LinkedIn is full of posts about LLM (Large Language Model) prompting experiments and best practices. So much digital ink has been spilled regarding how generative AI is a first-class productivity booster. But what does a productivity boost look like?

Marketing 84

Marketing Software Interactive Enterprise 84

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Automate tedious, repetitive tasks.

Enterprise 122

Enterprise Modeling Testing Data-driven 122

IBM Big Data Hub

DECEMBER 5, 2023

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications. The impact of these investments will become evident in the coming years.

Unstructured Data 94

Unstructured Data Cost-Benefit Experimentation Machine Learning 94

IBM Big Data Hub

DECEMBER 20, 2023

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. Artificial intelligence (AI) is a transformative force. Without an AI strategy, organizations risk missing out on the benefits AI can offer.

Strategy 77

Strategy Business Objectives Cost-Benefit Consulting 77

Smarten

MARCH 7, 2024

Search Analytics is evolving at a rapid pace, and the concept of auto insights builds on the foundation of assisted predictive modeling and Clickless Analytics features, taking natural language processing (NLP) search analytics and predictive modeling to the next level. Instead, the user will simply select the dataset to be analyzed.

Analytics 67

Analytics Predictive Modeling Machine Learning Visualization 67

IBM Big Data Hub

NOVEMBER 29, 2023

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Metrics 86

Metrics Machine Learning Risk Statistics 86

IBM Big Data Hub

APRIL 22, 2024

This Earth Day, we are calling for action to conserve our scarcest resource: the planet. 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.

IoT 83

IoT Internet of Things Cost-Benefit Reporting 83

IBM Big Data Hub

NOVEMBER 29, 2023

Check out the webcast, “ Leveraging AI for Real-Time Event Processing ,” by Stephane Mery, IBM Distinguished Engineer and CTO of Event Integration, to learn more about these concepts. AI and event processing: a two-way street An event-driven architecture is essential for accelerating the speed of business.

Unstructured Data 90

Unstructured Data Data-driven ROI Machine Learning 90

IBM Big Data Hub

FEBRUARY 7, 2024

In 2024, sustainability is taking center stage. Efforts to track and reduce emissions, environmental impact and contributions to climate change are no longer rare or optional; instead, they’ve become the norm. Businesses, governments and individuals now see sustainability as a global imperative. trillion to the global economy by 2050.

Reporting 96

Reporting Cost-Benefit Internet of Things Data-driven 96

CIO Business Intelligence

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. Instant reactions to fraudulent activities at banks. Improved recommendations for online transactions.

Data Strategy 109

Data Strategy Strategy Machine Learning Data-driven 109

IBM Big Data Hub

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? We’re all amazed by what AI can do.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

IBM Big Data Hub

DECEMBER 4, 2023

Advacements in machine learning algorithms, neural networks and the computational power of generative AI, combined with human expertise, intuition and creativity, can unlock new possibilities and achieve levels of innovation that were previously unimaginable.

Experimentation 67

Experimentation Modeling Metrics Machine Learning 67

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML). Foundation models can use language, vision and more to affect the real world.

Risk 75

Risk Modeling Management Metadata 75

IBM Big Data Hub

FEBRUARY 23, 2024

NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development.

Enterprise 103

Enterprise Interactive Data-driven Key Performance Indicator 103

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 machine learning? This post will dive deeper into the nuances of each field.

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

DataRobot Blog

JULY 28, 2022

Rapid advances in machine learning in recent years have begun to lower the technical hurdles to implementing AI, and various companies have begun to actively use machine learning. Ultimately, the evaluation is based on whether or not the model delivers success to the customers’ business.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

IBM Big Data Hub

JANUARY 22, 2024

It’s the news no organization wants to hear―you’ve been the victim of a ransomware attack, and now you’re wondering what to do next. The first thing to keep in mind is you’re not alone. Disconnect ethernet and disable WiFi, Bluetooth and any other network capabilities for any infected or potentially infected device.

Consulting 113

Consulting Behavioral Analytics Reporting Insurance 113

Cloudera

AUGUST 30, 2022

This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. Cloudera refers to this as universal data distribution, as explored further in this blog post. Cloudera refers to this as universal data distribution, as explored further in this blog post.

Strategy 102

Strategy Data Strategy ROI Cost-Benefit 102

Ontotext

FEBRUARY 1, 2024

We as a taxonomy community are facing rapid technological change and grappling with where our discipline fits into a world captivated by ChatGPT and other generative models. The challenge of complexity Knowledge models for taxonomy have responded to an increasing need for sophistication and expressiveness.

Enterprise 59

Enterprise Management Metadata Modeling 59

IBM Big Data Hub

DECEMBER 5, 2022

In addition, DSCE’s digitally guided experience enables partners to effortlessly package and deploy their software at scale. DSCE works seamlessly for both data scientist and machine learning operations (ML-Ops) engineers’ personas. Your on-ramp to embeddable AI from IBM. DSCE is a wizard-driven experience.

Modeling 57

Modeling Digital Transformation Interactive Software 57

Cloudera

JUNE 7, 2023

By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). But as models go, the idea is easier than the execution. It’s a win-win.

Metadata 79

Metadata Data Lake Optimization Modeling 79

IBM Big Data Hub

OCTOBER 16, 2023

Examples of AI bias in the real world show us that when discriminatory data and algorithms are baked into AI models, the models deploy biases at scale and amplify the resulting negative effects. Training data bias AI systems learn to make decisions based on training data, so it is essential to assess datasets for the presence of bias.

Advertising 74

Advertising Machine Learning Data Architecture Cost-Benefit 74

AWS Big Data

NOVEMBER 28, 2023

Through customer feedback, we learned that lot of undifferentiated time and resources go towards building and managing ETL pipelines between transactional databases and data warehouses. ETL is the process data engineers use to combine data from different sources. But integrating data isn’t easy.

Data Warehouse 90

Data Warehouse Data-driven Machine Learning B2B 90

datapine

APRIL 21, 2022

Digital transformation of your business is possible when you can use emerging automation, Machine Learning (ML), and Artificial Intelligence (AI) technologies in your marketing. In other words, it means employing technology to constantly improve the whole company model, including its offerings, customer service, and operations.

Digital Transformation 206

Digital Transformation Marketing Advertising Scorecard 206

IBM Big Data Hub

APRIL 24, 2024

Large language models (LLMs) may be the biggest technological breakthrough of the decade. Instead, they can write system prompts, natural-language instructions that tell the AI model what to do. They are also vulnerable to prompt injections , a significant security flaw with no apparent fix. It wasn’t hard to do.

Risk 65

Risk Modeling Measurement Enterprise 65

Cloudera

AUGUST 17, 2023

Machine Learning (ML) is at the heart of the boom in AI Applications, revolutionizing various domains. From powering intelligent Large Language Model (LLM) based chatbots like ChatGPT and Bard , to enabling text-to-AI image generators like Stable Diffusion , ML continues to drive innovation.

Software 71

Software Risk Manufacturing Finance 71

Ontotext

FEBRUARY 14, 2024

Ivory tower modeling We’ve seen too many models developed by isolated ontologists that don’t survive the first battle with the data. There’s a famous saying by a statistician, George Box, “All models are wrong, but some are useful.” ” So, how do you know whether your model is useful?

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

Cloudera

AUGUST 18, 2021

In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. ML models powering AI use cases are becoming more and more ubiquitous in a variety of environments, especially at industrial organizations adopting Industry 4.0

Data Lake 88

Data Lake IoT Internet of Things Data-driven 88

IBM Big Data Hub

OCTOBER 12, 2022

Every week during football season, an estimated 60 million Americans pore over player statistics, point projections, and trade proposals, looking for that elusive insight that will guide their roster decisions and lead them to victory. If you play fantasy football, you are no stranger to the concept of data-driven decision making.

Unstructured Data 84

Unstructured Data Consulting Statistics Data-driven 84

Cloudera

FEBRUARY 25, 2021

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses.

Deep Learning 81

Deep Learning Machine Learning Forecasting Visualization 81

Ontotext

DECEMBER 15, 2023

It includes only ML papers and related entities; this SPARQL query shows some statistics: papers tasks models datasets methods evaluations repos 376557 4267 24598 8322 2101 52519 153476 We can start with these repositories (most of them are on Github) and get all their topics. InnoGraph aims to comprehensively cover all elements of AI.

Machine Learning 69

Machine Learning Interactive Deep Learning Statistics 69

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” How do you scale an organization without hiring an army of hard-to-find data engineering talent? Data team morale is consistent with DataKitchen’s own research. The top-line result was that 97% of data engineers are feeling burnout.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

IBM Big Data Hub

AUGUST 14, 2023

The newly launched IBM Security QRadar Suite offers AI, machine learning (ML) and automation capabilities across its integrated threat detection and response portfolio , which includes EDR , log management and observability, SIEM and SOAR. However, AI and automation are often used in a limited fashion or only in certain security tools.

Cost-Benefit 58

Cost-Benefit Machine Learning Consulting Data mining 58