Rocket-Powered Data Science

JULY 19, 2023

These three emergent analytics products are: (a) Sentinel Analytics – focused on monitoring (“keeping an eye on”) multiple enterprise systems and business processes, as part of an observability strategy for time-critical business insights discovery and value creation from enterprise data sources.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

O'Reilly on Data

MARCH 27, 2019

Watch highlights from expert talks covering AI, machine learning, data analytics, and more. Streamlining your data assets: A strategy for the journey to AI. Watch " Streamlining your data assets: A strategy for the journey to AI.". Forecasting uncertainty at Airbnb. Watch " Forecasting uncertainty at Airbnb.".

Uncertainty 205

Uncertainty Forecasting Data-driven Machine Learning 205

Domino Data Lab

JANUARY 31, 2022

In a previous blog post we introduced the K-armed bandit problem - a simple example of allocation of a limited set of resources over time and under uncertainty. We saw how a stochastic bandit behaves and demonstrated that pulling arms at random yields rewards close to the expectation of the reward distribution.

Strategy 84

Strategy Uncertainty Machine Learning 84

CIO Business Intelligence

JANUARY 11, 2024

2023 was a year made notable by a range of unexpected, unpredictable, and fast-moving challenges that, despite seemingly having little to do with technology, had profound impacts on IT strategies. To guide an organization through uncertainty, IT leaders must help ensure everyone in the company is on the same page, Srivastava says.

IT 127

IT Uncertainty Cost-Benefit Strategy 127

CIO Business Intelligence

NOVEMBER 9, 2023

By Bryan Kirschner, Vice President, Strategy at DataStax Today, we’re all living in a world in which “humans with machines will replace humans without machines”—for the second time. The first time around, smartphone apps became ubiquitous and indispensable machines that just about everyone uses to get things done.

Experimentation 132

Experimentation Uncertainty Strategy Machine Learning 132

CIO Business Intelligence

FEBRUARY 23, 2024

The completion of such transformative EV and hydrogen fuel cell engineering — amid uncertainty about which technology will prevail as the industry standard — reflects the one constant American Honda’s VP of IT Bob Brizendine has confronted throughout his 36 years with the company: an ever-changing, winding road that never slows down.

IT 121

IT Manufacturing Unstructured Data Strategy 121

Jet Global

DECEMBER 10, 2020

Having a machine learning algorithm purely based on data is highly useful during times of great uncertainty, and it can really help businesses feel less overwhelmed and more in control than they would be otherwise. Will the pandemic be an impediment or an expedient to the adoption of AI?

Uncertainty 52

Uncertainty Technology Finance Business Intelligence 52

CIO Business Intelligence

SEPTEMBER 13, 2023

By Bryan Kirschner, Vice President, Strategy at DataStax As a software developer and coding instructor, Ania Kubow is always informative and engaging. Learn how DataStax helps organizations build real-time, AI-powered applications. About Bryan Kirschner : Bryan is Vice President, Strategy at DataStax.

Uncertainty 93

Uncertainty Interactive Strategy Machine Learning 93

CIO Business Intelligence

SEPTEMBER 2, 2022

How extensive is your data-driven strategy today? An example of that enterprise-level digital strategy and alignment process was the creation of three advanced capabilities: AI and analytics, intelligent automation, and digital manufacturing. Khare: I look at uncertainty at two tiers.

Uncertainty 93

Uncertainty Manufacturing Data-driven Business Intelligence 93

CIO Business Intelligence

SEPTEMBER 2, 2022

How extensive is your data-driven strategy today? An example of that enterprise-level digital strategy and alignment process was the creation of three advanced capabilities: AI and analytics, intelligent automation, and digital manufacturing. Khare: I look at uncertainty at two tiers.

Uncertainty 93

Uncertainty Manufacturing Data-driven Business Intelligence 93

CIO Business Intelligence

DECEMBER 4, 2023

By Bryan Kirschner, Vice President, Strategy at DataStax One of the major findings of our recently released State of AI Innovation report was how bullish managers and technical practitioners were about generative AI enhancing, rather than threatening, their careers. Learn more about DataStax. Artificial Intelligence, Machine Learning

Uncertainty 81

Uncertainty Strategy Data-driven Consulting 81

CIO Business Intelligence

NOVEMBER 15, 2022

Sanchez-Reina also described such investment as a two-for-one strategy, bringing together financial performance with an organisation’s environmental and social values, thereby appeasing customers, employees and investors. Artificial Intelligence, Digital Transformation, Innovation, Machine Learning

Digital Transformation 141

Digital Transformation Experimentation Risk Metrics 141

CIO Business Intelligence

JANUARY 17, 2023

In almost every case, there’s an increased need for data insight and technology-enabled agility to reaffirm technology’s position at the center of investment strategy in order to achieve organizational growth. Not necessarily. Given this, the CIO should become the driver of enterprise automation.

Cost-Benefit 138

Cost-Benefit IT Uncertainty Optimization 138

CIO Business Intelligence

JUNE 25, 2023

By Bryan Kirschner, Vice President, Strategy at DataStax Bill Gates has seen (or, for that matter, caused) some profound advances in technology, so I don’t take a contrarian position lightly, but I think the way he describes his epiphany about the importance of AI is only half right. Learn more about how DataStax enables real-time AI here.

Finance 107

Finance Uncertainty Strategy Modeling 107

CIO Business Intelligence

MARCH 25, 2022

Two years of pandemic uncertainty and escalating business risk have sharpened the focus of corporate boards on a technology trend once dismissed as just another IT buzzword. My fellow board members look to me to make sure we’re doing the right things in our digital strategy.”. It actually makes me work harder.

Digital Transformation 107

Digital Transformation Uncertainty Machine Learning Strategy 107

CIO Business Intelligence

JANUARY 9, 2023

Economic uncertainty Organizations are concerned about multiple economic forces that are all causing uncertainty, says Srinivas Mukkamala, chief product officer at Ivanti. How do you future-proof your business in the face of so much uncertainty? And doing so is beginning to pay off.

IT 145

IT Uncertainty Cost-Benefit Digital Transformation 145

O'Reilly on Data

SEPTEMBER 15, 2020

Technical competence results in reduced risk and uncertainty. As AI maturity increases, a non-incremental, holistic, and organization-wide AI vision and strategy should be created to achieve hierarchically-aligned AI goals of varying granularity—goals that drive all AI initiatives and development. Conclusion.

Cost-Benefit 290

Cost-Benefit Advertising ROI Machine Learning 290

Smart Data Collective

JULY 1, 2023

Image annotation is the act of labeling images for AI and machine learning models. The resulting structured data is then used to train a machine learning algorithm. There are a lot of image annotation techniques that can make the process more efficient with deep learning.

Metrics 64

Metrics Machine Learning Uncertainty Deep Learning 64

CIO Business Intelligence

JUNE 8, 2022

Digital disruption, global pandemic, geopolitical crises, economic uncertainty — volatility has thrown into question time-honored beliefs about how best to lead IT. Thriving amid uncertainty means staying flexible, he argues. . When it comes to data and analytics, test, learn and recalibrate. IT Leadership, IT Strategy

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

The Unofficial Google Data Science Blog

APRIL 23, 2024

Crucially, it takes into account the uncertainty inherent in our experiments. It is also a sound strategy when experimenting with several parameters at the same time. To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Cloudera

DECEMBER 3, 2021

Systems should be designed with bias, causality and uncertainty in mind. Uncertainty is a measure of our confidence in the predictions made by a system. We need to understand and provide the greatest human oversight on systems with the greatest levels of uncertainty. System Design. Human Judgement & Oversight. Find out more.

Uncertainty 100

Uncertainty Measurement Metrics Risk 100

erwin

AUGUST 13, 2020

Here are some of the issues and questions being raised: Growth : How do we define growth strategies (e.g., Technology Disruption : How do we focus on innovation while leveraging existing technology, including artificial intelligence, machine learning, cloud and robotics? M&A, new markets, products and businesses).

Enterprise 143

Enterprise Cost-Benefit Uncertainty ROI 143

CIO Business Intelligence

FEBRUARY 23, 2023

By Bryan Kirschner, Vice President, Strategy at DataStax Imagine getting a recommendation for the perfect “rainy Sunday playlist” midway through your third Zoom meeting on Monday. The former rely on batch processing to train machine learning models and generate features (measurable properties of a phenomenon).

Uncertainty 87

Uncertainty Strategy Data-driven Machine Learning 87

Jen Stirrup

NOVEMBER 15, 2022

However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. The business teams are getting a value framework, which explains how the organization boils down the strategy into measures of success. Data strategy in a VUCA environment.

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

CIO Business Intelligence

APRIL 28, 2023

Given the ongoing economic uncertainty, customers of all sizes in all industries continue to look for cost savings across their businesses, similar to what you’ve seen us doing at Amazon. I would say that there’s three macro areas in this space.

Enterprise Optimization 52

Enterprise Optimization Recreation/Entertainment Advertising Uncertainty 52

DataKitchen

SEPTEMBER 21, 2023

The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. Running these automated tests as part of your DataOps and Data Observability strategy allows for early detection of discrepancies or errors. One of the primary sources of tension?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

CIO Business Intelligence

MAY 16, 2023

By Bryan Kirschner, Vice President, Strategy at DataStax Consumers love smart personalization. Learn how DataStax enables real-time AI. About Bryan Kirschner : Bryan is Vice President, Strategy at DataStax. Artificial Intelligence, Machine Learning Developers get fired up about building AI-powered apps.

Recreation/Entertainment 52

Recreation/Entertainment Uncertainty Strategy Forecasting 52

Cloudera

DECEMBER 11, 2020

In “Are Your Machine Learning Models Wrong” , Richard Harmon explores what financial institutions should do in the face of the uncertainty caused by COVID-19. Finally, he recommends investment in building out a platform that supports the entire machine learning lifecycle to enable the industrialization of ML. .

Insurance 94

Insurance Digital Transformation Unstructured Data Machine Learning 94

CIO Business Intelligence

JANUARY 4, 2023

Scaling out and developing large-scale systems : To meet demand, the HPC industry is developing and honing strategies to effectively scale and deploy large systems that are both efficient and reliable. Advances in Artificial Intelligence and Machine Learning (AI/ML): AI/ML will continue growing as an important workload in HPC.

Cost-Benefit 58

Cost-Benefit Machine Learning Modeling Uncertainty 58

BizAcuity

MARCH 18, 2019

Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk. Predictive analytics continues to gain popularity, and research proves that there is a gradual move toward credit scoring strategies developed using data mining and predictive analytics.

Predictive Analytics 83

Predictive Analytics Analytics Cost-Benefit Data mining 83

DataRobot

APRIL 5, 2021

The uncertainty in her reply piqued my interest. In a series of experiments, the researchers and authors of “ Manipulating and Measuring Model Interpretability ” asked participants to predict apartment prices with the assistance of a machine learning model. Umm, yes, I think so,” she replied. Humans and AI Best Practices.

Uncertainty 96

Uncertainty Machine Learning Modeling Reporting 96

CIO Business Intelligence

MARCH 23, 2023

As the world continues to experience economic uncertainty, IT leaders look to tighten budgets, consolidate tools and resources, and generally become more risk-averse when evaluating new investments. Gartner recently cut their expected IT budget prediction from 5.1% to just 2.2% This is three times lower than the projected 6.5%

Scorecard 58

Scorecard Cost-Benefit ROI IT 58

Decision Management Solutions

DECEMBER 17, 2020

With the pandemic still in full play and economic uncertainty across nearly every aspect of the business landscape, it’s important to align your priorities for the coming year so that you don’t just survive but thrive. Demystify artificial intelligence (AI)—and make it work for you. Succeeding with AI requires a different approach.

Machine Learning 52

Machine Learning Interactive Uncertainty Management 52

O'Reilly on Data

JANUARY 22, 2019

They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below.

Modeling 133

Modeling Finance Uncertainty Data mining 133

CIO Business Intelligence

OCTOBER 26, 2023

While there is little doubt that companies have been cutting back on expenses generally in response to economic uncertainty, startups in particular have been feeling the pain of contracting budgets and reluctant investors. 10X in 10 Years – can this continue?

IT 109

IT Cost-Benefit Data-driven Manufacturing 109

Cloudera

SEPTEMBER 29, 2021

In a world rife with uncertainty, governments need to ensure that their citizens’ health and well-being are taken care of even as they seek to keep their economies afloat. Among the use cases for the government organizations that we are working on is one which leverages machine learning to detect fraud in payment systems nationwide.

Digital Transformation 81

Digital Transformation Data Governance Data-driven Uncertainty 81

CIO Business Intelligence

SEPTEMBER 12, 2022

One instance of how that exploration led to real business benefits was with the application of machine learning to predict optimal product formulation using a set of desired consumer benefits. The team was given time to gather and clean data and experiment with machine learning models,’’ Crowe says.

Experimentation 131

Experimentation Consulting Technology Machine Learning 131