Rocket-Powered Data Science

JULY 6, 2023

You can find my results on my Medium blog site. Oh, by the way, I asked the generative AI at Stable Diffusion to create some images to go with my short story (which you can find on my Medium blog ). LLMs are so responsive and grammatically correct (even over many paragraphs of text) that some people worry that it is sentient.

Statistics 151

Statistics Deep Learning Machine Learning Modeling 151

Dataiku

APRIL 27, 2022

There are many ways to achieve scale in AI and machine learning (ML) — scale up, scale out, elastic scale. But taking a more granular approach to scaling your AI/ML projects can pay dividends. The best way to understand scale for an AI and ML platform is to look at each step in the lifecycle of a project.

Machine Learning 59

Machine Learning 59

Depict Data Studio

AUGUST 21, 2023

Last week’s blog post about contiguous vs. non-contiguous datasets was immensely unpopular. I had the most unsubscribes to my blog and newsletter of all time — in more than a decade of blogging, YouTubing, and newsletter-ing. This distinction deserves its own blog post, too. Except… meh.

Dashboards 52

Dashboards Visualization Statistics Interactive 52

IBM Big Data Hub

DECEMBER 18, 2023

Up to this point, authoritative DNS providers have approached this challenge in one of two ways: Overwhelm network teams with data Several authoritative DNS providers offer raw data feeds as an add-on feature. DNS Insights is a targeted data feed drawn from a wide variety of DNS and network metrics.

Dashboards 79

Dashboards Data Lake Metrics Sales 79

Cloudera

APRIL 18, 2024

Among other shifting trends, we saw just how much the approach to data management is shifting, with data strategies moving to account for the data that feeds AI use cases and ultimately makes them trustworthy, and successful. The post A Look Back at the Gartner Data and Analytics Summit appeared first on Cloudera Blog.

Analytics 95

Analytics Metadata Data Strategy Optimization 95

Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. This blog will be published in two parts. This is what we call the first-mile problem. The use case.

Dashboards 81

Dashboards Machine Learning Statistics KPI 81

O'Reilly on Data

JUNE 9, 2020

I first learned about Emmanuel through articles on his blog. ) You need to collect relevant data for training, and deploy pipelines that will feed data to the model when it is in production. When I first met Emmanuel, three or four years ago, what impressed me wasn’t his expertise in building models—though he clearly had that.

Machine Learning 252

Machine Learning Modeling Metrics IT 252

CIO Business Intelligence

SEPTEMBER 9, 2022

As Dan Moore writes in his “ Letters to a new Developer ” blog, “Even as a new developer, you’re constantly making small creative decisions (naming a variable, for example). It is also the aspect most often neglected in the care and feeding of developers. This is part of what makes software development so fulfilling and fun.”

Software 128

Software Experimentation Measurement Marketing 128

IBM Big Data Hub

FEBRUARY 26, 2024

Instead of pointing a data feed to NS1, you’ll manually turn the filter on when it’s needed by using the active-passive logic. The first filter in this chain is “Up”, with the difference here that you manually define which services are up and down (instead of a data feed doing that for you).

Metrics 84

Metrics Optimization IT Technology 84

Cloudera

JUNE 2, 2021

In this three-part blog series, we will outline key elements of our state-of-the-art CDE service – covering motivations (in Part 1), key capabilities (in Part 2), and a step-by-step how-to-guide (in Part 3). Integration with ISV solutions via CDE APIs (latest partner integration blog here.

Data Warehouse 89

Data Warehouse Machine Learning Data-driven Optimization 89

Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. Use case recap. Apache Flink.

Analytics 86

Analytics Dashboards Statistics Visualization 86

IBM Big Data Hub

APRIL 9, 2024

Lastly, watsonx.data pulls from live feeds. “We’ll hit a variety of feeds from the system, including scoring, ball tracking, pin location, player pairings and scheduling,” says Baughman. “We also pull in video, which is where we add the commentary and embed it into the clips.”

Management 84

Management IT Machine Learning Metrics 84

Cloudera

NOVEMBER 1, 2023

The post Harness the Power of Pinecone with Cloudera’s New Applied Machine Learning Prototype appeared first on Cloudera Blog. We invite you to explore the improved functionalities of this latest AMP.

Machine Learning 105

Machine Learning Optimization Modeling Interactive 105

Cloudera

FEBRUARY 1, 2024

Ultimately, this boils down to how reliable and trustworthy the underlying data that feeds your insights and applications is. In this blog, we’ll cover the highlights of our recently published Day 2 Operations Guide and why it matters to enterprises.

Optimization 82

Optimization Measurement Testing Publishing 82

Smart Data Collective

JULY 8, 2021

Artificial Intelligence requires feeding accurate information through a set of algorithms so a machine can make future decisions. It eliminates the requirement for feeding new codes every time we want them to learn a new thing. Visit our blog to find more information. If programmed well, computers do not make errors like humans.

Risk 141

Risk Cost-Benefit Machine Learning Deep Learning 141

AWS Big Data

JANUARY 30, 2023

Set up an S3 bucket for full and CDC load data feeds To set up your S3 bucket, complete the following steps: Log in to your AWS account and choose a Region nearest to you. Make sure the name is unique (for example, delta-lake-cdc-blog- ). Give the role a name (for example, delta-lake-cdc-blog-role ). Choose Create role.

Insurance 77

Insurance Data Lake Data-driven Management 77

IBM Big Data Hub

FEBRUARY 5, 2024

These components can augment the FICAM architecture by providing capabilities such as multifactor authentication, endpoint device analysis and threat feeds from SIEM tools. Incorporate adaptive access Adaptive access, when paired with threat intelligence feeds, provides a robust defense against authentication attacks.

Risk 93

Risk Cost-Benefit Measurement Management 93

Cloudera

AUGUST 30, 2022

This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. Streaming market data, news feeds, or sending a budget alert can be introduced to a service without a complete overhaul. Data-fuelled innovation requires a pragmatic strategy. Embrace incremental progress.

Strategy 102

Strategy Data Strategy ROI Cost-Benefit 102

Cloudera

SEPTEMBER 30, 2022

A financial services company subscribes to daily feeds of Bloomberg data to do various analyses. With CDF-PC, they built a data flow that collects the daily feeds that arrive in a cloud object store, processes them, and delivers them to multiple downstream systems. and to Cloudera to use the CDF-PC cloud service.

IoT 73

IoT Data-driven Modeling Optimization 73

CIO Business Intelligence

OCTOBER 24, 2023

That means the text you feed into the model is going to be reduced to arrays of numbers, and those numbers are going to be as a vector on a map, albeit one with thousands of dimensions. As Dale Markowitz wrote on the Google Cloud blog, “If you’d like to embed text–i.e. to do text search or similarity search on text–you’re in luck.

Cost-Benefit 118

Cost-Benefit Modeling Data Quality Statistics 118

DataKitchen

AUGUST 19, 2021

Figure 2: Data feeding the drug product lifecycle domains. The data engineer updates the Recipe (orchestration) that feeds the data lake if a data source needs to be added and modifies the Recipe that generates the data warehouse. Some data sets are used by multiple teams, but that introduces complexity. The new Recipes run, and BOOM!

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

bridgei2i

JANUARY 17, 2021

The client, a global insurance leader, wanted to identify emerging risks, associated drivers & trends by analyzing various external data sources including medical journals, legal opinion blogs, newsfeed & social media. How BRIDGEi2i Delivered Value?

Insurance 52

Insurance Risk Interactive Enterprise 52

Smart Data Collective

OCTOBER 7, 2023

In this blog post, we’ll discuss a few simple but highly effective ways to have a healthier relationship with social media. You’ll be amazed at how much more productive you’ll be when you’re not mindlessly scrolling through your feed for hours on end. Keep reading to learn more!

Interactive 99

Interactive Management Marketing IT 99

erwin

OCTOBER 16, 2020

By leveraging the power of the cloud, harnessing data from the Internet of Things (IoT) and other events, and processing this data in near-real time, analytics helps to effectively process the relentless incoming data feed. Parts of this blog are excerpted from my keynote on day No. Subscribe to the erwin Expert Blog.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

Decision Management Solutions

MAY 14, 2020

James, thank you for the opportunity to guest blog in your series on Decision Optimization. For each scenario, a range of different decision strategies are automatically created, using techniques such as the global tree optimization approach James discussed in his last blog. A Guest Post by Neill Crossley, ACIB.

Optimization 75

Optimization Key Performance Indicator Strategy KPI 75

Cloudera

JUNE 15, 2022

I know we as a society grow plenty of food to feed everyone in the world, yet there is still rampant food insecurity due to things like logistics, waste, and systemic issues.” . The post #Clouderalife Volunteer Spotlight: Michael Billau appeared first on Cloudera Blog. I wanted to join the effort. It’s humbling.”.

IT 79

IT 79

Cloudera

DECEMBER 5, 2022

Feeding hundreds and reducing food waste: meet Carlos Zorzin. Carlos volunteers two to three times per month to reduce food waste and feed hundreds of people using local shelters to access food and temporary housing. . “ I believe it is important to work with people and organizations that share common values to achieve their goals.”.

Technology 66

Technology IT 66

Depict Data Studio

SEPTEMBER 18, 2023

Step 1: Build the Clean, Contiguous Dataset From previous blog posts , you know that table is a tricky term. You can learn more about contiguous datasets and why they’re necessary for dataviz in this blog post. You can learn more about the pros and cons of each approach in this blog post. This step is optional.

Interactive 69

Interactive Dashboards Slice and Dice IT 69

DataKitchen

AUGUST 27, 2021

Figure 2: During the product launch, data comes from various sources and feeds into regular and ad hoc reports and analytics. Visit our blog, Accelerating Drug Discovery and Development with DataOps. As figure 2 summarizes, the data team ingests data from hundreds of internal and third-party sources. It’s that simple. .

Analytics 246

Analytics Sales Testing Cost-Benefit 246

IBM Big Data Hub

APRIL 24, 2024

Prompt injections are a type of attack where hackers disguise malicious content as benign user input and feed it to an LLM application. Hackers do not need to feed prompts directly to LLMs for these attacks to work. The post How to prevent prompt injection attacks appeared first on IBM Blog.

Risk 64

Risk Modeling Measurement Enterprise 64

IBM Big Data Hub

MAY 8, 2023

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Find more blogs on AI The post The risks and limitations of AI in insurance appeared first on IBM Blog. Above all, put in a robust AI governance program.

Insurance 71

Insurance Risk Testing Data Quality 71

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines. Here are the key stages: .

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Depict Data Studio

FEBRUARY 13, 2023

If you’re using Excel, simply add an empty row to the table that feeds into your graph. You can learn more about adding intentional gaps in this blog post. These are separate types of data (an overall number is qualitatively different from a breakout by subgroups). They need to be arranged separately on the slide.

Visualization 98

Visualization Reporting IT 98

Ontotext

OCTOBER 12, 2023

Feeding The Graph With Lexical Resources Somewhat complementary to Hogan’s presentation was the talk Data Spaces and Lexical Resources. LLMS are only as knowledgeable as the data we feed them so let’s see how knowledgeable our LLMs will be and how knowledge-centric our projects are a year from now.

Modeling 75

Modeling Recreation/Entertainment Data Processing Metadata 75

IBM Big Data Hub

OCTOBER 17, 2023

” For example, the cement kiln digital twin would recommend the optimal fuel, air, kiln speed and feed that minimizes heat energy consumption and still produces the right quality of clinker. With these digital twins, we can simulate complex operating conditions to get accurate operating set points for process “sweet spots.”

Modeling 104

Modeling Optimization Manufacturing Forecasting 104

IBM Big Data Hub

FEBRUARY 29, 2024

Creating new income streams : Businesses that generate more renewable energy than they consume can sell the surplus back to the grid through feed-in tariffs or net metering arrangements. By harnessing renewable energy, companies can position themselves as leaders in their industry and attract environmentally conscious customers.

IoT 102

IoT Internet of Things Optimization Manufacturing 102

IBM Big Data Hub

AUGUST 22, 2023

As illustrated in Figure 2, the use of generative AI increases the power of the digital twin by simulating any number of physically possible and simultaneously reasonable object states and feeding them into the networks of the digital twin. appeared first on IBM Blog.

Unstructured Data 77

Unstructured Data Consulting Visualization IoT 77