IBM Big Data Hub

MARCH 4, 2024

While many organizations have implemented AI, the need to keep a competitive edge and foster business growth demands new approaches: simultaneously evolving AI strategies, showcasing their value, enhancing risk postures and adopting new engineering capabilities. We refer to this transformation as becoming an AI+ enterprise.

Enterprise 101

Enterprise ROI Risk Strategy 101

IBM Big Data Hub

DECEMBER 15, 2023

Open-source artificial intelligence (AI) refers to AI technologies where the source code is freely available for anyone to use, modify and distribute. While open-source AI offers enticing possibilities, its free accessibility poses risks that organizations must navigate carefully. Governments like the U.S.

Deep Learning 67

Deep Learning Experimentation Machine Learning Risk 67

Paul DeBeasi

AUGUST 13, 2012

Summary: Gartner has introduced the first and only Mobile Reference Architecture for enterprise IT organizations. The Mobile Reference Architecture is an integrated set of research that helps IT organizations make technology, infrastructure and policy decisions that support their mobile initiatives. increased risk).

Experimentation 40

Experimentation Enterprise Risk Cost-Benefit 40

IBM Big Data Hub

FEBRUARY 1, 2024

In recent years, CBDCs have been positioned as a viable remedy to current inefficiencies in financial markets, as they can promote innovation, more effectively aid inclusion in payment systems and reduce settlement delays, costs, and counterparty risks. Payment transaction privacy is also important.

Experimentation 95

Experimentation Modeling Finance Reporting 95

The Unofficial Google Data Science Blog

JULY 22, 2020

This post considers a common design for an OCE where a user may be randomly assigned an arm on their first visit during the experiment, with assignment weights referring to the proportion that are randomly assigned to each arm. One reason to do ramp-up is to mitigate the risk of never before seen arms.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Jet Global

APRIL 27, 2023

Tax teams of multinational enterprises (MNEs) in the manufacturing industry face increasing challenges to manage business and market risks effectively. For your tax team to be agile, you’ll need to optimize tax technology and processes so you can both spot data insights and mitigate risk.

Manufacturing 52

Manufacturing Marketing Experimentation Reporting 52

Ontotext

JULY 6, 2023

Let’s consider an example about risk and opportunity event detection. Case studies The risk and opportunity event detection use case discussed above combines all of Ontotext’s capabilities: storing and managing large amounts of data adding meaning to it (e.g.,, The solution brings many business benefits.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

O'Reilly on Data

MARCH 31, 2020

There may even be someone on your team who built a personalized video recommender before and can help scope and estimate the project requirements using that past experience as a point of reference. It’s difficult to be experimental when your business is built on long-term relationships with customers who often dictate what they want.

Management 327

Management Machine Learning Experimentation Metrics 327

CIO Business Intelligence

MARCH 7, 2023

Oliver Wittmaier, CIO and product owner at DB SYSTEL GmbH DB SYSTEL GmbH Content generation is also an area of particular interest to Michal Cenkl, director of innovation and experimentation at Mitre Corp. “I Michal Cenkl, director of innovation and experimentation, Mitre Corp. Mitre Corp. The technology also needs human oversight.

Enterprise 114

Enterprise IT Experimentation Unstructured Data 114

Depict Data Studio

OCTOBER 26, 2021

This is referred to as “non-destructive” editing in the digital imaging world, and it is such a great feature for experimentation and creativity, because you risk nothing! Does your presentation start with a shared premise and set of conditions, but is expected to branch out in unexpected or experimental ways, somewhat unevenly?

Visualization 116

Visualization Experimentation Software Strategy 116

CIO Business Intelligence

APRIL 18, 2022

“The challenge with this approach is that companies end up in what we refer to as the ‘digital trap. They run the risk of miscommunication and misaligned business, technology, and operational strategy across the CXO team. “The They invest in cloud experimentation. It’s not the leader’s job to tell them what to do.”.

Digital Transformation 145

Digital Transformation Dashboards Cost-Benefit Consulting 145

AWS Big Data

MAY 2, 2023

Removal of experimental Smart Sensors. How dynamic task mapping works Let’s see an example using the reference code available in the Airflow documentation. should also help you align with security standards by mitigating the risk of older versions of Python such as 3.7, release highlights, refer to What’s New In Python 3.10.

Testing 103

Testing Experimentation Management Metadata 103

CIO Business Intelligence

DECEMBER 6, 2023

Organizations need to have an honest look at their hygiene, priorities, and data sensitivities to ensure they’re plugging GenAI tools into the areas where they get maximum reward and minimized risk.” In addition, over half called a lack of skilled workers their biggest barrier, which usually refers to developers and data engineers.

IT 132

IT Risk Management Interactive Modeling 132

DataRobot Blog

JANUARY 10, 2023

Data science teams of all sizes need a productive, collaborative method for rapid AI experimentation. Clinics and hospitals like Phoenix Children’s use AI to predict which patients are at risk of contracting an illness so that they can then prescribe medication and treatment accordingly. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

Sisense

JANUARY 21, 2020

A new drug promising to reduce the risk of heart attack was tested with two groups. When the data is combined, it seems that the drug reduces the risk of getting a heart attack. In addition, men are at a greater risk of having a heart attack, overall. It also reduced their risk of heart attack. of men took the drug).

Testing 104

Testing Risk Data-driven Statistics 104

AWS Big Data

JULY 3, 2023

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. For instructions on attaching a cluster to a Workspace, refer to Attach a cluster to a Workspace. Load the dataset into Amazon S3. Configure a Spark session.

Snapshot 86

Snapshot Data Lake Testing Strategy 86

IBM Big Data Hub

APRIL 18, 2024

AGI, sometimes referred to as strong AI , is the science-fiction version of artificial intelligence (AI), where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility. Armed with this information, the fund manager can make informed decisions to adjust their portfolio and mitigate risk.

Cost-Benefit 93

Cost-Benefit Modeling Manufacturing Interactive 93

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

CIO Business Intelligence

MAY 20, 2024

Economists refer to “knowledge spillovers” that occur by chance within the workplace and in social settings. Its knowledge assembly culture reflects a commitment to constant innovation and learning via experimentation and risk-taking that has led to a diverse range of businesses, from e-commerce to cloud computing.

Management 103

Management Interactive Measurement Marketing 103

CIO Business Intelligence

APRIL 5, 2023

Midjourney, ChatGPT, Bing AI Chat, and other AI tools that make generative AI accessible have unleashed a flood of ideas, experimentation and creativity. Using generative AI for agent assistance can get you the productivity boost with less of the risk.

Modeling 101

Modeling Testing Cost-Benefit Experimentation 101

Cloudera

AUGUST 2, 2018

True – millions of credit card transactions are processed within minutes for consistency, fraud and compliance, using petabytes of historical transactions as reference data. Leading insurers are underwriting policies with lower risks. Banks know more about their customers today.

Data Warehouse 51

Data Warehouse Insurance Experimentation Software 51

O'Reilly on Data

MAY 11, 2020

Television only lacked the immediate feedback that comes with clicks, tracking cookies, tracking pixels, online experimentation, machine learning, and “agile” product cycles. Also note that they refer to the user of Search here as a consumer. That loop isn’t new, of course; it was well-known to TV network executives.

Modeling 188

Modeling Advertising Recreation/Entertainment Metrics 188

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. Of course, there is still heavy lifting needed to lower the cost, risk and time-to-value of such an advanced knowledge management technology. Global Sales planning.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. Of course, there is still heavy lifting needed to lower the cost, risk and time-to-value of advanced knowledge management technology. The first 18 years: Develop vision and products and deliver to innovation leaders.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

NOVEMBER 2, 2023

And while there is a great deal of experimentation underway, most organizations have only scratched the surface in a use-case-by-use-case fashion. This includes the reference data about business entities, agents, and people. Most of the leading market research firms consider graph technologies to be a “critical enabler.”

IT 69

IT Cost-Benefit Data-driven Technology 69

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. The ability to measure results (risk-reducing evidence). Ensure a culture that supports a steady process of learning and experimentation.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Cloudera

JUNE 6, 2019

In this case, an individual with different types of workloads may have access to multiple clusters; the admin trades increased risk of a noisy neighbor for better infrastructure efficiency. 3) By workload priority. A third strategy splits clusters based on the overall priority of the workloads running on those clusters.

Metadata 86

Metadata Data Lake Optimization Strategy 86

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

We data scientists now have access to tools that allow us to run a large numbers of experiments, and then to slice experimental populations by any combination of dimensions collected. Make experimentation cheap and understand the cost of bad decisions. This leads to the proliferation of post hoc hypotheses.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Occam's Razor

JUNE 4, 2018

Not wanting to risk it, I click on the Find in Store link you see at the bottom of the page. Your current customers refer your products and services to their friends, family, and complete strangers—in exchange for a little benefit for themselves. I love the nudge they have built-in showing how many in my size are in stock (only one!)….

Strategy 124

Strategy Cost-Benefit Testing Sales 124

Domino Data Lab

JULY 2, 2019

One clear lesson of the early 21st century: strategies at scale that rely on centralization are generally risks (John Robb explores that in detail in Brave New War which I’ve just been reading – good stuff). Although not specifically cited by the AutoPandas project (apologies if I missed a reference?)

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

O'Reilly on Data

MARCH 23, 2023

What is it, how does it work, what can it do, and what are the risks of using it? There’s a very important difference between these two almost identical sentences: in the first, “it” refers to the cup. In the second, “it” refers to the pitcher. What Are the Risks? Copyright violation is another risk.

IT 258

IT Modeling Testing Risk 258

O'Reilly on Data

DECEMBER 9, 2019

As the number of experimental trials N approaches infinity, the probability of E equals M/N. Modern portfolio theory assumes that rational, risk-averse investors demand a risk premium, a return in excess of a risk-free asset such as a treasury bill, for investing in risky assets such as equities. on average.

Statistics 27

Statistics Uncertainty Risk Marketing 27

The Unofficial Google Data Science Blog

MAY 31, 2016

A geo experiment is an experiment where the experimental units are defined by geographic regions. Such regions are often referred to as Generalized Market Areas (GMAs) or simply geos. We often refer to this as the Return On Ad Spend (ROAS). They are non-overlapping geo-targetable regions.

Advertising 42

Advertising Testing Sales Statistics 42

IBM Big Data Hub

OCTOBER 20, 2023

Automated development: With AutoAI , beginners can quickly get started and more advanced data scientists can accelerate experimentation in AI development. Generative AI capabilities Content generator: Generative AI refers to deep-learning models that can generate text, images and other content based on the data they were trained on.

Machine Learning 75

Machine Learning Manufacturing Cost-Benefit Deep Learning 75

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. This is often referred to as the positivity assumption. In observational studies treatment is assigned by nature, therefore its mechanism is unknown and needs to be estimated.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Domino Data Lab

AUGUST 26, 2019

To support the iterative and experimental nature of industry work, Domino reached out to Addison-Wesley Professional (AWP) for appropriate permissions to excerpt the “Tuning Hyperparameters and Pipelines” from the book, Machine Learning with Python for Everyone by Mark E. We could try lots of different values.

Testing 79

Testing Modeling Machine Learning Metrics 79

O'Reilly on Data

SEPTEMBER 11, 2019

There was no need for a frame of reference—in part because there was only one observer: IT. It presupposed a batch model in which data was to be extracted, engineered, and made available (usually to a database) at predictable intervals. In this batch model, the motion of data was always known and, moreover, strictly controlled.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20