CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years. There may be times when department-specific data needs and tools are required.

IT 137

IT Risk Cost-Benefit Data Science 137

DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. Exploratory Data Analysis After we connect to Snowflake, we can start our ML experiment.

Data Processing 72

Data Processing Experimentation Machine Learning Data Warehouse 72

CIO Business Intelligence

JUNE 11, 2024

One reason CEOs restructure new digital, data, AI, or experience departments with separate C-level leaders is if IT is underperforming and the CIO isn’t driving transformation. What dataops, data governance, machine learning, and AI capabilities are IT developing as competitive differentiators?

IT 136

IT Digital Transformation Broadcasting Business Objectives 136

Domino Data Lab

JUNE 10, 2020

Today, we announced the latest release of Domino’s data science platform which represents a big step forward for enterprise data science teams. You can identify data drift, missing information, and other issues, and take corrective action before bigger problems occur.

Data Science 82

Data Science Enterprise Experimentation Modeling 82

CIO Business Intelligence

DECEMBER 14, 2023

Reining in the rugged and remote Through rapid cycles of discovery and experimentation, Mathur and De Bernardi’s cross-functional team devised a solution that leaned heavily on additive manufacturing, more commonly known as “3D printing.” Mathur says the data-driven nature of the solution will in time strengthen the capability.

Manufacturing 100

Manufacturing Digital Transformation Experimentation Cost-Benefit 100

CIO Business Intelligence

AUGUST 1, 2023

But with all the excitement and hype, it’s easy for employees to invest time in AI tools that compromise confidential data or for managers to select shadow AI tools that haven’t been through security, data governance, and other vendor compliance reviews.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Data Science 98

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 90

Unstructured Data Cost-Benefit Machine Learning Experimentation 90

DataRobot

SEPTEMBER 14, 2021

Becoming AI-driven is no longer really optional. And for those that do make it past the experimental stage, it typically takes over 18 months for the value to be realized. At the same time, business and data analysts want to access intuitive, point-and-click tools that use automated best practices.

Machine Learning 94

Machine Learning Experimentation Modeling Visualization 94

Occam's Razor

DECEMBER 9, 2009

It is rare for me to work with a organization where the root cause for their faith based decision making (rather than data driven) was not the org structure. Surprisingly it is often not their will to use data, that is there in many cases. Chapter 14: HiPPOs, Ninjas, and the Masses: Creating a Data-Driven Culture.

Analytics 95

Analytics Data-driven Marketing Sales 95

Ontotext

MAY 18, 2020

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

DataRobot Blog

NOVEMBER 15, 2022

Organizations are looking to deliver more business value from their AI investments, a hot topic at Big Data & AI World Asia. At the well-attended data science event, a DataRobot customer panel highlighted innovation with AI that challenges the status quo. Automate with Rapid Iteration to Get to Scale and Compliance.

Big Data 52

Big Data Experimentation Machine Learning Data-driven 52

AWS Big Data

JUNE 12, 2024

Swisscom’s Data, Analytics, and AI division is building a One Data Platform (ODP) solution that will enable every Swisscom employee, process, and product to benefit from the massive value of Swisscom’s data. The following high-level architecture diagram shows ODP with different layers of the modern data architecture.

Data Architecture 107

Data Architecture Cost-Benefit Data-driven Experimentation 107

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

DataRobot

APRIL 29, 2021

This list includes: Rachik Laouar is Head of Data Science for the Adecco Group. Rachik is working to transform that company’s products through data analytics and AI and will be speaking on the topic, Executive Track: Turning an Industry Upside Down. . Eric Weber is Head of Experimentation And Metrics for Yelp.

Machine Learning 59

Machine Learning Experimentation Data Science Data-driven 59

DataRobot Blog

MARCH 16, 2023

Data scientists run experiments. To work effectively, data scientists need agility in the form of access to enterprise data, streamlined tooling, and infrastructure that just works. We’ve tightened the loop between ML data prep , experimentation and testing all the way through to putting models into production.

Modeling 52

Modeling Experimentation Machine Learning Data-driven 52

IBM Big Data Hub

OCTOBER 20, 2023

AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models.

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

Ontotext

NOVEMBER 2, 2023

Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization. We call this the “ Bad Data Tax ”. This is partly because integrating and moving data is not the only problem.

IT 69

IT Cost-Benefit Data-driven Technology 69

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Years and years of practice with R or "Big Data." The Future of Life Institute hosted a conference in Asilomar in Jan 2017 with just such a purpose.

Marketing 138

Marketing Analytics Machine Learning Strategy 138

Sisense

JULY 15, 2020

Healthy Data is your window into how data can help organizations address this crisis. COVID-19 required a worldwide coordinated response of medical professionals, data teams, logistics organizations, and a whole host of other experts to try to flatten the curve, improve treatments, and ultimately develop lasting remedies.

Analytics 90

Analytics Modeling Visualization Dashboards 90

DataRobot

FEBRUARY 17, 2021

As host of the DataRobot More Intelligent Tomorrow podcast , I’m constantly impressed and delighted by the fascinating people that I have a chance to talk to. Army, where she reports to the Undersecretary of the Army on mission-critical data analytics. We have hundreds of commanders who need good data right now.

Data Analytics 52

Data Analytics Analytics Experimentation Data-driven 52

AWS Big Data

SEPTEMBER 13, 2024

In recent years, driven by the commoditization of data storage and processing solutions, the industry has seen a growing number of systematic investment management firms switch to alternative data sources to drive their investment decisions. Each team is the sole owner of its AWS account.

Interactive 87

Interactive Strategy Cost-Benefit Data Governance 87

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake 95

Data Lake Analytics Snapshot Data Quality 95

AWS Big Data

MARCH 20, 2023

We discuss how to create such a solution using Amazon Kinesis Data Streams , Amazon Managed Streaming for Kafka (Amazon MSK), Amazon Kinesis Data Analytics for Apache Flink ; the design decisions that went into the architecture; and the observed business benefits by Poshmark.

Analytics 52

Analytics Data Processing Slice and Dice Data Lake 52

CIO Business Intelligence

AUGUST 5, 2024

This is evident in the rigorous training required for providers, the stringent safety protocols for life sciences professionals, and the stringent data and privacy requirements for healthcare analytics software. Concerns about data security, privacy, and accuracy have been at the forefront of these discussions.

Experimentation 124

Experimentation Risk Metadata Data-driven 124

Domino Data Lab

MAY 8, 2019

For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. ML model interpretability and data visualization. back to the structure of the dataset.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

IBM Big Data Hub

MAY 20, 2024

However, in the past few decades, advances in artificial intelligence, sensing, simulation and more have driven enormous impacts within the biotech industry. They broadly fall into three buckets: Advanced mathematics and complex data structures. Simulating nature. This is where IBM can help.

Data Processing 94

Data Processing Optimization Experimentation Enterprise 94

CIO Business Intelligence

FEBRUARY 27, 2025

Product management is crucial for businesses looking to drive innovation and leverage technology as a differentiator, shared Roman Dumiak, executive-in-residence at the DePaul University Innovation Development Lab, at a recent Coffee With Digital Trailblazers event I hosted on the topic.

IT 126

IT Digital Transformation Metrics Data-driven 126

CIO Business Intelligence

JANUARY 13, 2025

Shift AI experimentation to real-world value Generative AI dominated the headlines in 2024, as organizations launched widespread experiments with the technology to assess its ability to enhance efficiency and deliver new services. Most of all, the following 10 priorities should be at the top of your 2025 to-do list.

Experimentation 140

Experimentation Strategy ROI Digital Transformation 140

CIO Business Intelligence

FEBRUARY 5, 2025

Being strategic about AI and measuring whether those investments are paying off requires clear goals, reliable data, and collaboration challenges many organizations struggle to overcome. Organizations already generate large volumes of high-quality data in some areas and have well-defined pain points.

Cost-Benefit 117

Cost-Benefit ROI Metrics Measurement 117

Ontotext

DECEMBER 6, 2024

Building a RAG prototype is relatively easy, but making it production-ready is hard with organizations routinely getting stuck in experimentation mode. Out of the box RAG struggles to connect dots, for questions that require traversing disparate chunks of data. GraphDB allows experimentation and optimization of the different tasks.

Modeling 59

Modeling Cost-Benefit Experimentation Optimization 59