datapine

DECEMBER 11, 2019

AI optimizes business processes, increasing productivity and efficiency while automating repetitive tasks and supporting human capabilities. Automation: Machine Learning, a subset of AI, is utilized in SaaS to automate responsiveness in customer service reports and applications, such as AI-powered chat operations with live chatbots.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

Smart Data Collective

JUNE 4, 2021

Basics of Machine Learning. Machine learning is the science of building models automatically. Whereas in machine learning, the algorithm understands the data and creates the logic. Whereas in machine learning, the algorithm understands the data and creates the logic. Semi-Supervised Learning.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

IBM Big Data Hub

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. Automated development: Automates data preparation, model development, feature engineering and hyperparameter optimization using AutoAI.

Machine Learning 63

Machine Learning Data Warehouse Modeling Cost-Benefit 63

O'Reilly on Data

JANUARY 25, 2021

This study is based on title usage on O’Reilly online learning. The data includes all usage of our platform, not just content that O’Reilly has published, and certainly not just books. AI, Machine Learning, and Data. Artificial intelligence, machine learning, and data.

Machine Learning 362

Machine Learning Software Testing Technology 362

Smart Data Collective

FEBRUARY 20, 2022

Its cost-effective service solutions ensure that you can optimize costs, organize data, and provide access controls to meet your business, organizational, and regulatory needs. AWS also offers developers the technology to develop smart apps using machine learning and complex algorithms. Management of data. Easy to use.

Cost-Benefit 115

Cost-Benefit Data Lake Software Machine Learning 115

Cloudera

SEPTEMBER 8, 2022

Combined with the characteristics of the infrastructure itself (location, cost, performance) should be workload profiles, including access controls and collaboration, workload optimization features (e.g. for machine learning), and other enterprise policies.

Data Governance 78

Data Governance B2B Data Architecture IoT 78

AWS Big Data

MAY 30, 2024

Based on the nature of the request, it routed the request to the API cluster that could optimally process that specific request based on the response time requirement. Data store – The data store used a custom data model that had been highly optimized to meet low-latency query response requirements.

Data Warehouse 85

Data Warehouse Data Lake Cost-Benefit Structured Data 85

Cloudera

NOVEMBER 18, 2020

We are delighted to officially publish this year’s Data Impact Award winners. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. Our winners were selected by a group of 37 industry analysts, influencers, and members of the media. Data Impact Achievement Award.

Internet Publishing and Broadcasting 121

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 121

IBM Big Data Hub

APRIL 12, 2023

It is initially an empty but pluggable layer, with management capabilities, that can host analytics functions as data consumers and providers of actionable insights. It hosts various functions that consume actionable insights from the analytics layer to automate operation and optimization processes in the network.

Data Processing 82

Data Processing KPI Optimization Analytics 82

AWS Big Data

JULY 14, 2023

In this post, we discuss how the Amazon Finance Automation team used AWS Lake Formation and the AWS Glue Data Catalog to build a data mesh architecture that simplified data governance at scale and provided seamless data access for analytics, AI, and machine learning (ML) use cases.

Finance 86

Finance Metadata Big Data Recreation/Entertainment 86

Domino Data Lab

MAY 8, 2019

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. Not yet, if ever.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

CIO Business Intelligence

JANUARY 4, 2023

A team of researchers from Lancaster University, along with sustainability consultancy Small World Consulting, published a 2021 report indicating that IT contributes to as much as 1.2% Cloud migrations have been on the rise in recent years for a host of business reasons, but CIOs serious about sustainability are pulling out all the stops.

IT 117

IT Internet of Things Reporting Cost-Benefit 117

Cloudera

AUGUST 28, 2018

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Enterprise Machine Learning. TECHNICAL IMPACT.

Digital Transformation 65

Digital Transformation Consulting Machine Learning IoT 65

AWS Big Data

JUNE 7, 2023

Through their unique position in ports, at sea, and on roads, they optimize global cargo flows and create sustainable customer value. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. The job runs in the target account.

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

Insight

JANUARY 9, 2020

I prioritized machine learning, ethics, and ‘out of my comfort zone’ talks. During the first, “Breaking the Black Box: Interpreting Machine Learning Models” by Sheryl Zhang, Kanika Sabharwal, and Rupali Saboo, I learned how to explore VGG16 layers to get insight into features detected during early model training.

Data Processing 83

Data Processing Recreation/Entertainment Data Science Machine Learning 83

Sisense

DECEMBER 11, 2019

This was the key learning from the Sisense event heralding the launch of Periscope Data in Tel Aviv, Israel — the beating heart of the startup nation. An exciting slate of presentations took them on a journey from why to how they should use data analytics to optimize their operations successfully and maximize their business opportunities.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Domino Data Lab

MARCH 29, 2021

The addition of the MLlib library, consisting of common learning algorithms and utilities, opened up Spark for a wide range of machine learning tasks and paved the way for running complex machine learning workflows on top of Apache Spark clusters. A benchmark published by Nvidia shows 3.8x

Cost-Benefit 98

Cost-Benefit Machine Learning Testing Interactive 98

bridgei2i

APRIL 16, 2021

So welcome to our podcast series Beyond Theory with AI Labs, and I’m your host, Divyansh. He has over a decade of experience in the field of AI, which he started with his paper on machine learning in 2009. He has published over eight papers on computer vision. And my guest today is indeed a very special person too.

Deep Learning 98

Deep Learning Machine Learning Digital Transformation Software 98

Domino Data Lab

JULY 9, 2019

Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way. I still believe that data science is the craft of trying to apply machine learning to some real world problem.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

AWS Big Data

SEPTEMBER 22, 2023

If you’d like to know more background about how we use Kafka at Stitch Fix, please refer to our previously published blog post, Putting the Power of Kafka into the Hands of Data Scientists. Kafka plays a central role in the Stitch Fix efforts to overhaul its event delivery infrastructure and build a self-service data integration platform.

Management 105

Management Metrics Cost-Benefit Data Lake 105

Cloudera

SEPTEMBER 12, 2018

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Enterprise Machine Learning: . It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. Technical Impact.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Ontotext

NOVEMBER 22, 2020

Businesses wanted a way to make pie and not an in-depth understanding of forward-chaining, inferential explosion or SPARQL optimizations. The resulting detailed and structured description of content serves as a basis for semantic indexing, search and exploration as well as the ability to create dynamic and automated content publishing.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

AWS Big Data

FEBRUARY 2, 2023

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data.

Reporting 89

Reporting Data Lake Management Optimization 89

Insight

AUGUST 16, 2019

it also highlights how to build a platform that hosts both streaming and batch applications. Framework-specific Articles You have an understanding of the big picture and you have learned about examples of cutting edge projects?

Big Data 51

Big Data Data Science Data Processing Machine Learning 51

AWS Big Data

MARCH 10, 2023

One important feature is to run different workloads such as business intelligence (BI), Machine Learning (ML), Data Science and data exploration, and Change Data Capture (CDC) of transactional data, without having to maintain multiple copies of data. Data can be organized into three different zones, as shown in the following figure.

Data Lake 105

Data Lake Sales Data Warehouse Snapshot 105

AWS Big Data

JULY 26, 2023

The vector engine provides a simple, scalable, and high-performing similarity search capability in Amazon OpenSearch Serverless that makes it easy for you to build modern machine learning (ML) augmented search experiences and generative artificial intelligence (AI) applications without having to manage the underlying vector database infrastructure.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Occam's Razor

OCTOBER 12, 2017

The first two are from editions of my newsletter, The Marketing – Analytics Intersect (it goes out weekly, and is now my primary publishing channel, sign up!). Optimal Starting SCOTUS Starting Points. The Future of Life Institute hosted a conference in Asilomar in Jan 2017 with just such a purpose. Intro to Machine Learning.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

Occam's Razor

MAY 2, 2017

There are Search people and Content people and Landing Page Optimizers and Cart fixers and Attribution Specialists and more. For example, your company is shifting aggressively into leveraging Machine-Learning in your marketing strategies and hence have made a shift to Smart Display Campaigns a huge priority.

Metrics 141

Metrics Key Performance Indicator B2B Measurement 141

Jet Global

FEBRUARY 23, 2024

ETL helps collect, optimize, and store data for better reporting and real-time analysis. An on-premise solution provides a high level of control and customization as it is hosted and managed within the organization’s physical infrastructure, but it can be expensive to set up and maintain. What are the steps of data mapping?

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Insight

SEPTEMBER 20, 2019

The model was a modified U-Net and trained on GPU hosted by Amazon Web Services (AWS) EC2 instances. This shows that the model indeed learned where and what to look for in the images. The model is optimized for recall in order to reduce the false negative. The testing accuracy of the model is 0.79 and the recall is 0.85

Deep Learning 53

Deep Learning Cost-Benefit Testing Modeling 53

Insight

MARCH 29, 2019

To get some answers, Insight’s NYC office hosted a discussion focused on the many paths of growth available to today’s data scientists. Coming from a PhD in Neuroscience, Deepna Devkar ’s first industry role was at Viacom, where she worked on a team focused on asset optimization and audience research.

Data Science 73

Data Science Management ROI Data Processing 73

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. Gartner also published the same piece of research for other roles, such as Application and Software Engineering. The work of data science is more tied to machine learning and so AI and those projects do not focus only on analysis but also automation.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Strategic Objective Provide an optimal user experience regardless of where and how users prefer to access information. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source. Ideally, your primary data source should belong in this group.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52