IBM Big Data Hub

APRIL 29, 2024

Hosted by IBM® in partnership with Meta, VeloxCon showcased the latest innovation in Velox including project roadmap, Prestissimo (Presto-on-Velox), Gluten (Spark-on-Velox), hardware acceleration, and much more. The afternoon sessions were equally insightful, with Jimmy Lu of Meta unveiling the latest optimizations and features in Velox.

Management 66

Management Optimization Data Processing Metrics 66

CIO Business Intelligence

OCTOBER 7, 2022

Every organization pursuing digital transformation needs to optimize IT from edge to cloud to move faster and speed time to innovation. For IT decision makers and their partners and sellers, a modern approach involves three essential steps to optimize procurement — and accelerate digital transformation: 1. Understand your VM needs.

Data-driven 97

Data-driven IT Digital Transformation ROI 97

Cloudera

JUNE 26, 2023

For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models. It can provide a complete solution for data exploration, data analysis, data visualization, viz applications, and model deployment at scale.

Testing 75

Testing Data Processing Visualization Data Science 75

CIO Business Intelligence

MAY 12, 2023

Hannah’s IT division collaborates with and serves the needs of its “sister” business units where it makes sense, such as hosting financial applications for some business units. We were able to get better metrics and reporting. “They’re free to go to whatever cloud they need to meet the needs of their customers,” he says.

Strategy 98

Strategy IT Digital Transformation Finance 98

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. For machine learning systems used in consumer internet companies, models are often continuously retrained many times a day using billions of entirely new input-output pairs.

Management 332

Management Machine Learning Experimentation Metrics 332

AWS Big Data

JUNE 14, 2023

This post focuses on how to properly size your MSK tiered storage cluster, which metrics to monitor, and the best practices to consider when running a production workload. Therefore, we model these three different consumer groups in the equation to account for their impact on infrastructure usage.

Metrics 86

Metrics Cost-Benefit Testing Optimization 86

IBM Big Data Hub

FEBRUARY 7, 2024

Circular economy: When waste is a resource Waste not, want not: the circular economy model, which aims to minimize unnecessary waste and make the most of resources, is booming. This can be quantified by measuring metrics like tree cover, habitat integrity and number of species, and is guided by sustainable development principles.

Reporting 93

Reporting Cost-Benefit Internet of Things Data-driven 93

CIO Business Intelligence

NOVEMBER 29, 2023

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. Most of the time, those CIOs decide to keep the multi-cloud model because they’re locked in. But if it’s overladen with optimizations, you’re stuck.”

Recreation/Entertainment 124

Recreation/Entertainment Testing Strategy Risk 124

IBM Big Data Hub

DECEMBER 20, 2023

Whether it’s deeper data analysis, optimization of business processes or improved customer experiences , having a well-defined purpose and plan will ensure that the adoption of AI aligns with the broader business goals. What metrics need to be improved? A model represents what was learned by a machine learning algorithm.

Strategy 74

Strategy Business Objectives Cost-Benefit Consulting 74

Occam's Razor

SEPTEMBER 15, 2011

Winners, well before they think data or tool, have a well structured Digital Marketing & Measurement Model. This article guides you in understanding the value of the Digital Marketing & Measurement Model (notice the repeated emphasis on Marketing, not just Measurement), and how to create one for yourself. Losers don't.

Measurement 166

Measurement Marketing Modeling Key Performance Indicator 166

AWS Big Data

NOVEMBER 16, 2023

As with all AWS services, Amazon Redshift is a customer-obsessed service that recognizes there isn’t a one-size-fits-all for customers when it comes to data models, which is why Amazon Redshift supports multiple data models such as Star Schemas, Snowflake Schemas and Data Vault. String-optimized compression The Data Vault 2.0

Enterprise 87

Enterprise Data Warehouse Snapshot Cost-Benefit 87

IBM Big Data Hub

FEBRUARY 12, 2024

Also, optimizing search on webpages makes for an easier digital customer experience. This model sounds like it can invite disaster; however, by providing a trusted 24/7 customer support program, Airbnb upholds their customer experience. AI-powered chatbots allow customers unlimited access to information via messaging.

Consulting 73

Consulting Strategy Interactive Data Processing 73

Cloudera

JULY 24, 2023

data engineering pipelines, machine learning models). In addition to its configuration capabilities, Cloudera Manager is able to visualize metrics for all open source projects and management services used by platform tenants and deliver critical insights to platform administrators that help them with decision making.

Analytics 65

Analytics Testing Metrics Management 65

Smart Data Collective

APRIL 14, 2021

Tableau is the right tool for creating rich, in-depth analytics or dashboards that can be optimized for tablets, phones, and desktops. With this tool, analysts are able to visualize complex data models in Python, SQL, and R. It is made for use by analysts and offers an optimized SQL editing experience to facilitate fast coding.

Business Intelligence 133

Business Intelligence Dashboards Visualization Big Data 133

CIO Business Intelligence

JULY 13, 2022

That grew to charting a path forward, determining what kinds of options existed and going from a lift-and-shift approach to one of lift-and-optimize.”. For the first wave we wanted to move, optimize, and configure 1,500 virtual machines in 45 days, but instead we put out this big, hairy audacious goal to see how many we could do in two weeks.

Software 102

Software Cost-Benefit Optimization Data Processing 102

CIO Business Intelligence

OCTOBER 23, 2023

CIOs and their IT teams have enjoyed a bump in power and prestige in recent years, as the C-suite has embraced continuous transformation, digital everything, and a host of emerging technologies — all enabled by IT. Organizations should optimize IT ops by bringing in automation to continuously look for cost reduction opportunities.

IT 137

IT Consulting Scorecard Key Performance Indicator 137

CIO Business Intelligence

JANUARY 4, 2023

Recently members of our community came together for a roundtable discussion, hosted by Dell Technologies, about trends, trials, and all the excitement around what’s next. Due to the rapid growth in data sizes, there’s an increased need for HPC solutions that can run large training models.

Cost-Benefit 59

Cost-Benefit Machine Learning Modeling Uncertainty 59

CIO Business Intelligence

MARCH 9, 2023

Pricing models and metrics can also be complex, making it difficult to understand when additional costs might kick in, Alexander says. There may be alternative deal models that make sense. Buyers should stop running away from more complex commercial models like outcome-based contracts,” says Arora.

Cost-Benefit 114

Cost-Benefit Risk Uncertainty Technology 114

Alation

DECEMBER 9, 2021

Then, we’ll dive into the strategies that form a successful and efficient cloud transformation strategy, including aligning on business goals, establishing analytics for monitoring and optimization, and leveraging a robust data governance solution. Choose the Right Cloud Hosting Platform. What is Cloud Transformation?

Cost-Benefit 52

Cost-Benefit Data Governance Optimization Data Processing 52

Occam's Razor

JANUARY 12, 2015

Digital Analytics Ecosystem: Optimal Execution: Three Phases. Digital Analytics Ecosystem: Optimal Execution: Timing Expectations. At the core of everything you will do in digital analytics is the concept of metrics. How do you define a metric: It is simply a number. Your digital analytics tools are full of metrics.

Analytics 150

Analytics Slice and Dice KPI Metrics 150

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Because data analysts often build machine learning models, programming and AI knowledge are also valuable. Deep learning algorithms are neural networks modeled after the human brain.

Machine Learning 56

Machine Learning Data Science Statistics Deep Learning 56

CIO Business Intelligence

MARCH 13, 2024

AI models are able to present best practice code systems to help junior developers learn and hone their skills.” Respondents said AI was already showing value when it comes to writing and optimizing code, analyzing security, helping them learn new skills, identify bugs, write tests, create documentation, and more.

IT 128

IT Consulting Testing Cost-Benefit 128

AWS Big Data

FEBRUARY 26, 2024

When you start the process of designing your data model for Amazon Keyspaces, it’s essential to possess a comprehensive understanding of your access patterns, similar to the approach used in other NoSQL databases. Monitoring You can use Amazon CloudWatch to monitor the pipeline metrics.

Dashboards 65

Dashboards Testing Metrics Optimization 65

CIO Business Intelligence

OCTOBER 13, 2022

For organizations to work optimally, “information technology must be aligned with business vision and mission,” says Shuvankar Pramanick, deputy CIO at Manipal Health Enterprises. Hosting the entire infrastructure on-premise will turn out to be exorbitant,” he says. ROI and Metrics Adopt the agile methodology.

ROI 132

ROI IT Sales Consulting 132

Occam's Razor

MAY 2, 2017

There is no golden metric for everyone, we are all unique snowflakes! :). That then takes us down the very best way to answer that question, to use the five-step process to build out the Digital Marketing and Measurement Model. and tell you what are the best key performance indicators (metrics) for them.

Metrics 141

Metrics Key Performance Indicator B2B Measurement 141

Occam's Razor

SEPTEMBER 9, 2013

One of the key things we are going to learn today is to align our metrics and dimensions optimally to ensure we report good, clean, sensible data. The above graphic is from post, Excellent Analytics Tip #23: Align Hits, Sessions, Metrics, Dimensions! Your effort will make this post 100x more valuable.

Analytics 145

Analytics Metrics Marketing Reporting 145

Occam's Razor

APRIL 25, 2011

This latter category contains things that are so obviously sub-optimal that no one should be doing them any more. The issues of course include people and jaded mental models and bureaucracy and a lack of time and the missing desire to be great and org structures, and bosses. Yet there they are. Life is a lot more complex (and sexy!).

Marketing 126

Marketing Measurement Metrics Testing 126

IBM Big Data Hub

MARCH 29, 2024

Monitoring and optimizing application performance is important for software developers and enterprises at large. Yet, this data isn’t worth much without the right tools for monitoring, optimizing, storing and—crucially—putting the data into context. What is OpenTelemetry?

Metrics 79

Metrics Visualization Measurement Optimization 79

AWS Big Data

MARCH 13, 2024

For building any generative AI application, enriching the large language models (LLMs) with new data is imperative. Each service implements k-nearest neighbor (k-NN) or approximate nearest neighbor (ANN) algorithms and distance metrics to calculate similarity. With optimized configuration, it aims for high recall for the queries.

Data Processing 115

Data Processing Dashboards Machine Learning Management 115

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

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. Observe, optimize, and scale enterprise data pipelines. . A complete DataOps program will have a unified, system-wide view of process metrics using a common data store.

Testing 300

Testing Machine Learning Consulting Data Quality 300

datapine

DECEMBER 11, 2019

SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. AI optimizes business processes, increasing productivity and efficiency while automating repetitive tasks and supporting human capabilities.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

Occam's Razor

DECEMBER 9, 2009

some reports going out on schedule (even if data pukes) then an optimal path might be to centralize some where (see item #2 below). [B] Who owns the power to make changes to the site (not who owns updating pages or hosting the site)? Which physical organizational model will work best for you? But a very important nuance.

Analytics 95

Analytics Data-driven Marketing Sales 95

Business Over Broadway

MAY 22, 2019

I was invited as a guest in a weekly tweet chat that is hosted by Annette Franz and Sue Duris. Remember that digital transformation is about transforming your business and operating models with technology. Using Customer Journey Orchestration and AI to Optimize Customer Experience: [link]. IoT Artificial Intelligence.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Occam's Razor

APRIL 15, 2019

In my work with clients around the world (all continents except Antarctica), I’ve encountered a whole host of reactions to when I have shared negative data with ESLs. Bubble Kings most commonly reside in organizations where there is little to no accountability (or misplaced accountability, ex: celebration of vanity metrics).

Measurement 79

Measurement Strategy Data Processing Uncertainty 79

bridgei2i

MAY 19, 2021

In this episode of the AI to Impact podcast, host Venkat Subramanian engages in a stimulating discussion with Sid Banerjee on his early corporate experience of driving growth and innovation at Global In-house Centers (GICs). How do you optimize those teams? That’s it; it’s amazing to see how these models keep on evolving.

Enterprise 75

Enterprise Digital Transformation Marketing Cost-Benefit 75

CIO Business Intelligence

MAY 28, 2022

Eight years ago, McGlennon hosted an off-site think tank with his staff and came up with a “technology manifesto document” that defined in those early days the importance of exploiting cloud-based services, becoming more agile, and instituting cultural changes to drive the company’s digital transformation.

Insurance 143

Insurance Machine Learning Digital Transformation Cost-Benefit 143