DataRobot Blog

FEBRUARY 28, 2023

While this can be an excellent strategy for a future-oriented company, it can prove futile if you don’t maximize the value of your investment. According to Flexera 1 , 92% of enterprises have a multi-cloud strategy, while 80% have a hybrid cloud strategy. Learn more about DataRobot hosted notebooks.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

DataRobot Blog

NOVEMBER 15, 2022

At the well-attended data science event, a DataRobot customer panel highlighted innovation with AI that challenges the status quo. A packed keynote session showed how repeatable workflows and flexible technology get more models into production. Automate with Rapid Iteration to Get to Scale and Compliance.

Big Data 52

Big Data Experimentation Data-driven Machine Learning 52

CIO Business Intelligence

JULY 6, 2022

Laying the foundation for its cloud strategy, BNY Mellon undertook a multi-year application modernization effort. “In On BNY Mellon’s cloud strategy: First and foremost, we view cloud as a journey, not a destination. Today, our strategy is to have a multi-cloud approach. What follows are edited excerpts of that conversation.

Experimentation 85

Experimentation Testing Strategy Risk 85

CIO Business Intelligence

NOVEMBER 13, 2023

Digital transformation is not a one-time event but a continuous process. Develop a clear strategy: A clear strategy that outlines goals and objectives, timelines, and resources required is essential for digital transformation success. Digital Transformation, IT Leadership, IT Strategy

Digital Transformation 137

Digital Transformation Cost-Benefit Experimentation Measurement 137

CIO Business Intelligence

FEBRUARY 21, 2024

For example, top researchers at Florida State University are now developing innovative large language models (LLMs) to help advance research in areas like material science and healthcare — going beyond gen AI used by the general public. We developed a model to predict student outcomes based on metrics from historical evidence,” he says. “We

Recreation/Entertainment 124

Recreation/Entertainment Experimentation Modeling Data-driven 124

Dataiku

MARCH 25, 2024

This scenario is not science fiction but a glimpse into the capabilities of Multimodal Large Language Models (M-LLMs), where the convergence of various modalities extends the landscape of AI. But instead, a machine seamlessly identifies the scene and its location, provides a detailed description, and even suggests nearby attractions.

Visualization 132

Visualization Modeling Experimentation Testing 132

AWS Big Data

NOVEMBER 14, 2023

With data streaming, you can power data lakes running on Amazon Simple Storage Service (Amazon S3), enrich customer experiences via personalization, improve operational efficiency with predictive maintenance of machinery in your factories, and achieve better insights with more accurate machine learning (ML) models.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

Cloudera

OCTOBER 18, 2023

In fact, some of the insights presented in this blog have been assisted by the power of large language models (LLMs), highlighting the synergy between human expertise and AI-driven insights. Although this list is not exhaustive, I’ve provided an at-a-glance aggregate of use cases for quick wins, quicker wins, and longer-term strategies.

Cost-Benefit 79

Cost-Benefit Testing Machine Learning Optimization 79

DataRobot Blog

JANUARY 17, 2023

Recently, a prospective customer asked me how I reconcile the fact that DataRobot has multiple very successful investment banks using DataRobot to enhance the P&L of their trading businesses with my comments that machine learning models aren’t always great at predicting financial asset prices. For price discovery (e.g.,

Machine Learning 87

Machine Learning Marketing Experimentation Modeling 87

CIO Business Intelligence

MAY 12, 2022

Drag-and-drop Modeler for creating pipelines, IBM integrations. A high level of automation encourages deploying these models into production to generate a constant stream of insights and predictions. SPSS Modeler is a drag-and-drop tool for creating data pipelines that lead to actionable insights. On premises or in any cloud.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

CIO Business Intelligence

JANUARY 2, 2024

He plans to scale his company’s experimental generative AI initiatives “and evolve into an AI-native enterprise” in 2024. It involves reimagining our strategies, business models, processes and culture centered around AI’s capabilities, to reshape how we work and drive unparalleled productivity and innovation,” he says.

IT 144

IT Cost-Benefit Statistics Consulting 144

CIO Business Intelligence

SEPTEMBER 12, 2022

Prioritize time for experimentation. The team was given time to gather and clean data and experiment with machine learning models,’’ Crowe says. Employees will rally around a new business model, a new market opportunity, a new product offering,’’ Rybchin says. Now the capability is embedded in the product development process.

Experimentation 126

Experimentation Consulting Technology Machine Learning 126

CIO Business Intelligence

OCTOBER 18, 2023

If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.

Risk 133

Risk Manufacturing Enterprise Technology 133

CIO Business Intelligence

MAY 16, 2023

To gain perspective, Iron Mountain sponsored research by Quadrant Strategies, which used digital listening technologies to study public online conversation trends among enterprise decision-makers. It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises.

Advertising 85

Advertising Recreation/Entertainment Experimentation Enterprise 85

Sisense

MARCH 6, 2019

The crowd who attends these events are made mostly of analytics leaders in Enterprises. Being that this event is targeted at analytics leaders, it was not surprising that the opening sentence to this year’s keynote was “Are you going to lead a successful data & analytics initiative?”

Data Analytics 75

Data Analytics Analytics Experimentation Data-driven 75

AWS Big Data

JULY 3, 2023

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance.

Snapshot 84

Snapshot Data Lake Testing Strategy 84

AWS Big Data

MARCH 20, 2023

Poshmark wanted to address the following business use cases via the real-time analytics platform: Sessionization – Poshmark captures both server-side application events and client-side tracking events. They wanted to use these events to identify and analyze user sessions to track behavior. The event data format is nested JSON.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

FineReport

DECEMBER 11, 2019

Pay attention to the profound influence of social media on consumer behavior; present new consumer behavior characteristics in the new network environment; analyze new hotspot marketing and consumption events. – Data Divination: Big Data Strategies. – Understanding Business. By William G Nickels, James McHugh, Susan McHugh.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

Decision Management Solutions

JUNE 25, 2019

The last mile – getting ML models embedded into production systems – is critically important for analytic value and yet it is hard and often neglected. Robinson , Chief Strategy Officer, Kinaxis discussed Searching for Unicorns: Attracting and Retaining Analytics Talent. Great advice.

Predictive Analytics 75

Predictive Analytics Analytics Data Science Experimentation 75

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. This is a much more proactive and scalable model. Can you tell me a bit more about your role at Protegrity?

Insurance 150

Insurance Risk IoT Cost-Benefit 150

datapine

JANUARY 31, 2022

They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. To do so, the company started by defining the goals, and finding a way to translate employees’ behavior and experience into data, so as to model against actual outcomes.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Occam's Razor

SEPTEMBER 15, 2014

Nothing I can tell you about the importance of having an incredible mobile strategy will surprise you. If you look at the mobile marketing strategies, you will see they don't reflect this shift to mobile. Create a distinct mobile website and mobile app measurement strategies. Media-Mix Modeling/Experimentation.

Metrics 141

Metrics Reporting Analytics Marketing 141

bridgei2i

APRIL 28, 2020

My name is Aruna Babu and I’m a transformation consultant who spent a good part of the last decade crafting strategy that marries business, technology and user needs. Are they going to look at, you know, maybe new business models using data? The world we live in today is very different from the world we lived in a few weeks back.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. Using ML models to search more effectively brought the search space down to 102—which can run on modest hardware. Model-Driven Data Queries. Introduction. BTW, videos for Rev2 are up: [link]. That’s impressive.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

CIO Business Intelligence

JUNE 13, 2024

Proof that even the most rigid of organizations are willing to explore generative AI arrived this week when the US Department of the Air Force (DAF) launched an experimental initiative aimed at Guardians, Airmen, civilian employees, and contractors. It is not training the model, nor are responses refined based on any user inputs.

Testing 84

Testing Experimentation Data Processing Modeling 84

AWS Big Data

OCTOBER 4, 2023

Cataloged assets can represent a consumable unit of asset that may include a table, a dashboard, an ML model, or a SQL code block that shows the query behind the dashboard. In this release, Amazon DataZone introduces a new data model for the catalog.

Metadata 100

Metadata Data Lake Publishing Data Governance 100

CIO Business Intelligence

JUNE 6, 2023

And the market for doing so remains robust for corporations looking to make the most of the model. The CIO can also maximize the audience by inviting the company’s technology and business leaders to attend events that align with their interests and business needs.

Key Performance Indicator 105

Key Performance Indicator Cost-Benefit Enterprise Experimentation 105

O'Reilly on Data

DECEMBER 9, 2019

Recall from my previous blog post that all financial models are at the mercy of the Trinity of Errors , namely: errors in model specifications, errors in model parameter estimates, and errors resulting from the failure of a model to adapt to structural changes in its environment. For example, if a stock has a beta of 1.4

Statistics 27

Statistics Uncertainty Risk Marketing 27

Occam's Razor

JANUARY 9, 2012

A huge part of the last few years for me have been about bringing more data, better strategies, more powerful tools, ever more impactful keynotes to people around the world. Get the senior-most people in the largest companies in the world to unlock their imaginations when it comes to their digital existence via impactful digital strategies.

Marketing 140

Marketing B2B Measurement Risk 140

The Unofficial Google Data Science Blog

JUNE 30, 2016

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. Identifiability of $E(Y_1|T=1)$ is simple: $E(Y_1|T=1) = E(Y|T=1)$ because $Y=Y_1$ in the event $T=1$. This is often referred to as the positivity assumption.

Statistics 44

Statistics Optimization Modeling Experimentation 44

CIO Business Intelligence

OCTOBER 4, 2022

Line of business owns the customer experience, but IT is a critical partner to the business,” says Miriam McLemore, Director of Enterprise Strategy and Evangelism with AWS. Embed CX into your data strategy. Getting into experimentation mode will help you lower the cost of failure,” McLemore says. “A

Data-driven 98

Data-driven Machine Learning Interactive Predictive Analytics 98

CIO Business Intelligence

DECEMBER 6, 2023

Some of the most vocal complaints about generative AI have come from authors and artists unhappy at having their work used to train large language models (LLMs) without permission. But these Guardian polls appear to have been published on Microsoft properties with millions of visitors by automated systems with no human approval required.

IT 129

IT Risk Management Interactive Modeling 129

CIO Business Intelligence

JULY 7, 2023

Tip 1: Embrace the need for balance Hybrid work models have shifted the goalposts for just about all organizational objectives, especially in terms of providing employee experiences that are both productive and secure. They are expected to make smarter and faster decisions using data, analytics, and machine learning models.

Measurement 110

Measurement Risk Experimentation Enterprise 110

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. AI is no longer experimental.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

CIO Business Intelligence

FEBRUARY 3, 2023

More recently, The Royal Mint has evolved its business model in the face of declining cash usage, from its core business of coins and metal manufacturing through to bullion trading, a new consumer business and jewellery line, as well as tentative steps into digital gold and recycling e-waste. “As

IT 52

IT Experimentation Scorecard Digital Transformation 52

Occam's Razor

FEBRUARY 7, 2011

The best option is to hire a statistician with experience in data modeling and forecasting. Brian Krick: Best way to measure and communicate "available demand" from available channels (social, search, display) for forecast modeling. please refer to the controlled experimentation section, page 205, in the book for more.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94