IBM Big Data Hub

DECEMBER 18, 2023

Migrating a mission-critical system like authoritative DNS is always going to involve some amount of risk. Unfortunately, many network admins use this risk potential as a reason to continue using an authoritative DNS service that no longer adds business value. Step five: Migration Now comes the fun part—turning it on!

Risk 79

Risk Metrics Optimization Testing 79

Cloudera

JULY 24, 2023

However, both of these options are associated with substantial cost and risk , as organizations underestimate the complexity and the necessary expertise required to not only build but also operate a platform for advanced analytics. Those metrics include not just specific variables and metrics collected by each service (e.g.,

Analytics 65

Analytics Testing Metrics Management 65

AWS Big Data

MARCH 13, 2024

Each service implements k-nearest neighbor (k-NN) or approximate nearest neighbor (ANN) algorithms and distance metrics to calculate similarity. Ray cluster for ingestion and creating vector embeddings In our testing, we found that the GPUs make the biggest impact to performance when creating the embeddings.

Data Processing 110

Data Processing Dashboards Machine Learning Management 110

IBM Big Data Hub

FEBRUARY 8, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

Measurement 87

Measurement Metrics Reporting Strategy 87

O'Reilly on Data

DECEMBER 12, 2019

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. 6] Debugging may focus on a variety of failure modes (i.e., Sensitivity analysis.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

CIO Business Intelligence

NOVEMBER 29, 2023

Minimize lock-in risks You need to carefully weigh the tradeoffs when it comes to leveraging each vendor’s cloud-native services. “If If you choose not to use a cloud provider’s native services in order to remain agnostic, you lose many of the ‘better, cheaper, faster’ business case metrics,” says Holcombe.

Recreation/Entertainment 123

Recreation/Entertainment Testing Strategy Risk 123

CIO Business Intelligence

MARCH 13, 2024

We did side-by-side testing,” he says. In testing, gen AI was also particularly good at generating test cases and creating dummy data for testing. We got 600 people together to test gen AI in a sandbox to try different use cases in 54 different categories.” It’s not about reducing headcount, he adds.

IT 128

IT Consulting Testing Cost-Benefit 128

CIO Business Intelligence

NOVEMBER 14, 2023

Without a clear cloud strategy and broad leadership support, even value-adding cloud investments may be at risk. There are other risks, too. The result was a cost-neutral cloud hosting solution that delivered other benefits such as a better user experience, rapid and transparent updates, and variable cloud usage patterns.

Strategy 144

Strategy Cost-Benefit IT Key Performance Indicator 144

datapine

APRIL 15, 2020

Your Chance: Want to test an agile business intelligence solution? Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. You need to determine if you are going with an on-premise or cloud-hosted strategy. Finalize testing. Train end-users.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

datapine

MAY 17, 2021

Without a doubt, the best way to drive maximum value from the metrics, insights, and information is through something called data discovery. Your Chance: Want to test a professional data discovery tool for free? Your Chance: Want to test a professional data discovery tool for free? We offer a 14 day free trial.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. This has serious implications for software testing, versioning, deployment, and other core development processes.

Management 332

Management Machine Learning Experimentation Metrics 332

AWS Big Data

MAY 2, 2023

If your updates to a dataset triggers multiple subsequent DAGs, then you can use the Airflow metric max_active_tasks_per_dag to control the parallelism of the consumer DAG and reduce the chance of overloading the system. The workflow steps are as follows: The producer DAG makes an API call to a publicly hosted API to retrieve data.

Testing 100

Testing Experimentation Management Metadata 100

AWS Big Data

DECEMBER 21, 2023

Evolution of the data platform requirements smava started with a single Redshift cluster to host all three data stages. In addition, smava added new staging environments in the Business Vault to develop new data products without the risk of interfering with existing product pipelines.

Data Lake 88

Data Lake Data Warehouse Data-driven B2B 88

O'Reilly on Data

APRIL 22, 2020

There aren’t simple standards and tests for ethical behavior, nor are you as likely to be called into court for acting unethically. Finally, investors from BlackStone to JP Morgan are beginning to prioritize environmental, social, and governance metrics—like ethics—into its definition of shareholder value.

Cost-Benefit 249

Cost-Benefit Finance Strategy Data-driven 249

CIO Business Intelligence

OCTOBER 13, 2022

Too often IT initiatives are undertaken solely as technical projects, with only loose affiliation with line-of-business stakeholders, ushering in the risk of drifting too far from the overall goals and business objectives of the organization. Hosting the entire infrastructure on-premise will turn out to be exorbitant,” he says.

ROI 131

ROI IT Sales Consulting 131

The Unofficial Google Data Science Blog

JULY 17, 2018

Alternatively, guidance and insight may be delivered below the executive level to product managers and engineering leads, directing product feature development via metrics and A/B experiments. This measure of web page value is on a meaningful linear scale, such that our freshness metric (a weighted average) has an intuitive interpretation.

Data Science 85

Data Science Snapshot Data Processing Optimization 85

CDW Research Hub

AUGUST 19, 2019

This will help you maximize holiday results, reduce risk, and lower everyone’s stress levels. Will it include a readout summary of volumes of orders and customers, distilled application monitoring metrics, review and signoff of marketing content? What about external pen testing for potential threats and vulnerabilities?

Testing 49

Testing Optimization Data Processing Strategy 49

IBM Big Data Hub

JULY 6, 2023

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics. A manufacturer developed powerful, 3D-printed sensors to guide driverless vehicles.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

bridgei2i

FEBRUARY 24, 2021

In our latest episode of the AI to Impact podcast, host Monica Gupta – Manager of AI Actions, meets with Sunil Mudgal – Advisor, Talent Analytics, BRIDGEi2i, to discuss the benefits of adopting AI-powered surveillance systems in HR organizations. How do you track and report the impact of these metrics on key business outcomes?

Cost-Benefit 92

Cost-Benefit Recreation/Entertainment Digital Transformation Scorecard 92

datapine

OCTOBER 14, 2020

Your Chance: Want to test interactive dashboard software for free? An interactive dashboard is a data management tool that tracks, analyzes, monitors, and visually displays key business metrics while allowing users to interact with data, enabling them to make well-informed, data-driven, and healthy business decisions. 3) Drilldowns.

Dashboards 235

Dashboards Interactive Reporting KPI 235

Domino Data Lab

MAY 8, 2019

At CMU I joined a panel hosted by Zachary Lipton where someone in the audience asked a question about machine learning model interpretation. That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Let’s look through some antidotes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

datapine

FEBRUARY 23, 2023

To get a clearer impression, here is a visual overview of which chart to select based on what kind of data you need to show: **click to enlarge** Your Chance: Want to test modern data visualization software for free? The metrics are different and useful independently, but together, they tell a compelling story.

Visualization 177

Visualization Dashboards Sales Measurement 177

O'Reilly on Data

JANUARY 25, 2021

Both SRE and DevOps emphasize similar practices: version control (62% growth for GitHub, and 48% for Git), testing (high usage, though no year-over-year growth), continuous deployment (down 20%), monitoring (up 9%), and observability (up 128%). Observability” risks becoming the new name for monitoring. And that’s unfortunate.

Machine Learning 363

Machine Learning Software Testing Technology 363

AWS Big Data

FEBRUARY 21, 2023

Reliable computing infrastructure – The reliability of the computing infrastructure hosting Spark applications is the foundation of the whole Spark platform. This left platform engineers with the choice of changing the settings across the fleet of Spark jobs or risking unwanted surprises for their budget and cost of goods sold.

Cost-Benefit 56

Cost-Benefit Informatics Optimization Management 56

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. 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.

Metadata 85

Metadata Data Lake Optimization Strategy 85

Jet Global

MAY 1, 2023

As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. CFO Priorities Manage expenses and cash flow Enable profitable growth Contain risk Plan for the future Connect the Dots Do the math. Present your business case. These might be the user stories you construct.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

IBM Big Data Hub

DECEMBER 4, 2023

Clearly define the objective of the implementation project and determine its scope, timeline and budget as well as create a risk management plan. It will include a clear mission statement and roadmap to Oracle adoption along with the project’s budget, staffing requirements, timeline and risk assessment.

Testing 81

Testing Consulting Digital Transformation Cost-Benefit 81

CIO Business Intelligence

AUGUST 15, 2023

In partnership with OpenAI and Microsoft, CarMax worked to develop, test, and iterate GPT-3 natural language models aimed at achieving those results. A risk-limiting audit (RLA) is one audit type used for election verification. And it yields multiple business metric improvements, such as limiting surplus inventory.

IT 96

IT Manufacturing IoT Cost-Benefit 96

O'Reilly on Data

JANUARY 17, 2023

If you’re a professional data scientist, you already have the knowledge and skills to test these models. Especially when you consider how Certain Big Cloud Providers treat autoML as an on-ramp to model hosting. Is autoML the bait for long-term model hosting? That is: what model risk does the company face?)

Machine Learning 325

Machine Learning Predictive Modeling Software Modeling 325

IBM Big Data Hub

DECEMBER 7, 2023

And if an organization takes its new metrics and performs extensive data analysis on them, one result will be that even more data is created from that analysis. It’s a physical space with definable characteristics that’s dedicated to housing and hosting IT infrastructure. But the creation of new data never slows for long.

Strategy 102

Strategy Cost-Benefit Data Processing Software 102

CIO Business Intelligence

JUNE 8, 2022

If people need to go through multiple layers of approvals, they run the risk of building a very inefficient system. The coming months are a leadership test for CIOs, and it’s a pass/fail grade.”. Demand transparency on everything — especially on metrics — and be transparent back. Budgets may need adjusting,” he says.

IT 133

IT Cost-Benefit Uncertainty Digital Transformation 133

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. Some data is more a risk than valuable. Risk Management (most likely within context of governance). Storytelling is a nice one to use early on to test the approach. See: Use Infonomics to Quantify Data Monetization Risks and Establish a Data Security Budget.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

DataRobot Blog

JANUARY 10, 2023

ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. A host of open-source libraries. Deep Dive into DataRobot Notebooks. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

IBM Big Data Hub

NOVEMBER 29, 2023

The methodology is iterative rather than linear, which allows DevOps teams to write code, integrate it, run tests, deliver releases and deploy changes collaboratively and in real-time while keeping security and compliance in check. Prior to creating the image, the Dockerfile is tested.

Testing 101

Testing Dashboards Risk Data Processing 101

DataRobot Blog

FEBRUARY 2, 2023

DataRobot MLOps services provide a platform for hosting and deploying custom model packages in various ML frameworks such as PyTorch, Tensorflow, ONNX, and sk-learn, allowing organizations to easily integrate their pre-trained models into their existing applications and consume them for their business needs. pip install transformers==4.25.1

Modeling 52

Modeling Machine Learning Data Processing Interactive 52

Alation

OCTOBER 28, 2021

Yet this is not without risks. Whether it’s an out-patient clinic, drug discovery and clinical research lab, or any other organization that provides treatment, tests, rehabilitation, or therapy – data security is critical. This means establishing and enforcing policies and processes, standards, roles, and metrics.

Data Governance 52

Data Governance Measurement Modeling Metrics 52

DataRobot Blog

DECEMBER 20, 2022

The use of artificial intelligence (AI) in the investment sector is proving to be a significant disruptor, catalyzing the connection between the different players and delivering a more vivid picture of the future risk and opportunities across all different market segments. Real estate investments are not an exception.

Management 59

Management Machine Learning Optimization Modeling 59