Jen Stirrup

FEBRUARY 24, 2024

Artificial intelligence (AI) refers to human-inspired computer systems that perform tasks that typically require human intelligence, such as visual perception, speech recognition, and decision-making. Autonomous vehicles use computer vision and sensors to navigate without human input.

Cost-Benefit 70

Cost-Benefit Data-driven Testing Risk 70

Depict Data Studio

APRIL 10, 2023

Don’t start making graphs on your computer! Rather than relying on computer software or your programming skills, this step involves the most valuable computer of all— your brain. I sketch, draw, and doodle plenty of drafts before I create anything on the computer. Step 1: Understand Your Audience Wait!

Visualization 105

Visualization Dashboards Testing Reporting 105

IBM Big Data Hub

OCTOBER 16, 2023

Filtering email ML algorithms in Google’s Gmail automate filtering customers’ email into Primary, Social and Promotions categories while also detecting and rerouting spam to a spam folder. AI-enabled computer vision is often used to analyze mammograms and for early lung cancer screening.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

CDW Research Hub

APRIL 1, 2020

Sirius, which now holds the highest rank of VMware partners—Principal Partner—strives to maintain excellence within all VMware categories and to serve as an industry leader for its clients. The post Sirius and VMware Soar to New Heights With 2020 Partnership appeared first on Sirius Computer Solutions.

Sales 79

Sales Data-driven Management IT 79

Insight

MAY 16, 2019

Computer vision is a rapidly growing field in the technology and computer science world. More recently, companies like Amazon opened a cashier-less grocery store that uses computer vision and deep learning to automatically detect which items are taken off the shelf.

Deep Learning 84

Deep Learning Machine Learning Metadata Data Science 84

CIO Business Intelligence

OCTOBER 13, 2022

He was named the 2021 CIO of the Year by GeorgiaCIO, receiving the ORBIE Award in the Global category for helping reinvent Aflac as a digital-first company. And then to the board about the vision and value that you’re delivering with that technology. We launched a new vision around virtual enrollment. How do you deal with that?

IT 124

IT Insurance Cost-Benefit Modeling 124

O'Reilly on Data

APRIL 19, 2021

Not surprisingly, computers, electronics, and technology topped the charts, with 17% of the respondents. Unfortunately, we don’t know which industries are represented by that category—but it shows that the spread of AI has indeed become broad! That seems low relative to the amount of research we read about AI and computer vision.

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

The Unofficial Google Data Science Blog

JULY 18, 2023

For example, Google has led breakthroughs in medical imaging technologies , using computer vision and image search to improve the diagnosis of skin and eye diseases. This type of data might appear when multiple psychiatrists make diagnoses on patients, or in studying various “leadership categories.”

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

bridgei2i

JULY 28, 2020

Ria: Well, I would say that the vision of AI is not to take away human jobs, but to reshape and to transform the employment sector, because it leverages a different set of skills in this type of global pandemic economy and this global pandemic world. The whole world is just run by computers. It really doesn’t work that way.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

Juice Analytics

MARCH 20, 2021

Our vision is for everyone, from front-line customer service agents to senior executives, to leverage the mountain of data at their disposal. Few people, and fewer organizations, consistently engage with the data and use it to guide their thinking. The framework, as shown below, portrays the skill sets and competencies that you can develop.

Consulting 73

Consulting Big Data Data Collection Technology 73

DMBS2

DECEMBER 12, 2017

Machine vision or autonomous vehicles. The importance of AI and of recent AI advances differs greatly according to application or data category. . Machine vision has worked that way for decades. The fiasco of Japan’s 1980s “Fifth-Generation Computing” initiative is only partly reassuring. Maybe not.

Machine Learning 50

Machine Learning Predictive Modeling Deep Learning Modeling 50

CIO Business Intelligence

MARCH 9, 2022

Our data strategy supports our vision of harnessing all of the data that is available across the organisation, breaking down the silos to enhance every business process that we have,” says Martin Hammer, head of Enterprise Data Management at Etihad. A change was needed. Etihad is on a digital transformation journey.

Data Science 91

Data Science Data Lake Cost-Benefit Digital Transformation 91

Smart Data Collective

FEBRUARY 12, 2021

Many people think this has to do with spreadsheets and computers, but as you’ll see, there is a lot more to it than that. By creating short-term goals, you’ll have a clear vision about what you want to accomplish over the next several months to years. It is true that data analytics is key to helping reach your personal financial goals.

Insurance 90

Insurance Finance Big Data Data Analytics 90

Insight

OCTOBER 25, 2019

Problem Statement For this project, my client specified a public dataset ( T-LESS ) of 30 industry-relevant objects and categorized them into seven distinct categories. Among these categories, one consists of only two objects (objects 27 and 29). one by augmenting data, the other via meta-learning.

Snapshot 57

Snapshot Testing Deep Learning Visualization 57

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

We introduce these other uncertainties to express aspects of the job that go beyond the abstractions of mathematics or the certainties of computation. Recently, the product added the hot new "Just Arrived" category for videos of newborn animals. They involve the judgment to interpret data analysis in the context of the real world.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

bridgei2i

APRIL 23, 2020

In this fluid situation, banks anticipate their risks to grow manifold under various categories: Banks will monitor portfolios at a much granular level and use agile methodology. Image 1: Impact of Pain Points across verticals by geography. Understanding & Managing Risks. They have to assess risk and build strategies dynamically.

Risk 52

Risk Management Scorecard Forecasting 52

datapine

MAY 31, 2022

1) What Is Cloud Computing? 2) The Challenges Of Cloud Computing. 3) Cloud Computing Benefits. 4) The Future Of Cloud Computing. While “the cloud” is just a metaphor for the internet, cloud computing is what people are really talking about these days. Exclusive Bonus Content: Download our free cloud computing tips!

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.

Machine Learning 79

Machine Learning Modeling Deep Learning Predictive Modeling 79

Insight

JANUARY 14, 2020

CNNs have been widely considered state-of-the-art tools for computer vision since 2012, when AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). ImageNet contains over 14 million images that fall into over 20,000 categories. Take a closer look at the three benchpress images above. Why use a CNN?

Metrics 58

Metrics Optimization Modeling Testing 58

Domino Data Lab

AUGUST 29, 2019

Thus, as a computational shortcut, we’ll describe the Q- learning approach for estimating what the optimal action a in a given situation might be. It provides modular agent components, allowing you to dream up your own novel categories of deep RL agents. Both V and Q incorporate ? If we were to set ? = Value Functions. Equation 13.1)

Optimization 111

Optimization Modeling Deep Learning Metrics 111

Occam's Razor

MARCH 30, 2017

It was believed, due to the immense complexity of the game of Go, that computers were at least a decade away from beating humans. AlphaGo not only had to compute all the possible positions to play, but to pick the best one it also had to have some kind of intuition and strategic thinking – a challenge beyond raw compute power.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

O'Reilly on Data

SEPTEMBER 15, 2020

Teams with more experience with techniques such as natural language processing and computer vision are more likely to be successful building new applications using the same techniques. Outputs from trained AI models include numbers (continuous or discrete), categories or classes (e.g., characters, words, or sentences).

Cost-Benefit 293

Cost-Benefit Advertising ROI Machine Learning 293

Domino Data Lab

MARCH 6, 2019

In the visualization, each color block represents an image category and you can see how deeper layers are successively better at identifying the essence of these components. As the following animation shows, you can trace the learned representations through the different layers of the network. This is a common practice in transfer learning.

Deep Learning 55

Deep Learning Data Science Machine Learning Modeling 55

IBM Big Data Hub

JULY 6, 2023

These computer science terms are often used interchangeably, but what differences make each a unique technology? Natural language processing (NLP) and computer vision, which let companies automate tasks and underpin chatbots and virtual assistants such as Siri and Alexa, are examples of ANI.

Deep Learning 59

Deep Learning Machine Learning Unstructured Data Modeling 59

IBM Big Data Hub

OCTOBER 12, 2023

Our collective understanding of realized AI and theoretical AI continues to shift, meaning AI categories and AI terminology may differ (and overlap) from one source to the next. However, the types of AI can be largely understood by examining two encompassing categories: AI capabilities and AI functionalities.

Machine Learning 72

Machine Learning Deep Learning Interactive Modeling 72

CIO Business Intelligence

FEBRUARY 24, 2023

In our vision of the “autonomous enterprise,” machines (or rather, AI algorithms) fulfill highly repetitive or defined tasks, while strategic, decision-making tasks are driven by humans. This means a machine equipped with a good set of algorithms and enough computing power can beat any chess champion. (In Now think about poker.

Enterprise 94

Enterprise Modeling Machine Learning Data-driven 94

IBM Big Data Hub

DECEMBER 20, 2023

Public cloud infrastructure is a type of cloud computing where a third-party cloud service provider (e.g., Cloud computing services and management products fall into three primary categories: Software-as-a-Service (SaaS) offers applications hosted on a cloud server and distributed to end-users over the public internet.

Strategy 101

Strategy Cost-Benefit Digital Transformation Optimization 101

Occam's Razor

MARCH 10, 2015

It was announced to the world perhaps 24 months ago – in classic Google fashion, with a bold vision that was not fully baked. The team at Google, thanks to that bold vision, has continued to invest time and people, and execute quickly. You can't compute true profit today. Gotta love those betas! You can now do both.

Strategy 151

Strategy Analytics Measurement Business Analysis 151

Cloudera

APRIL 11, 2023

For the Cloudera and AMD Applied Machine Learning Prototype Hackathon , competitors were tasked with creating their own unique AMP for one of five categories (Sports and Entertainment, Environment, Business and Economy, Society, and Open Innovation). As you can tell, we left the guidance pretty open ended.

Forecasting 72

Forecasting Machine Learning Recreation/Entertainment Sales 72

IBM Big Data Hub

SEPTEMBER 20, 2023

By combining the IBM watsonx data and AI platform capabilities for FMs with edge computing, enterprises can run AI workloads for FM fine-tuning and inferencing at the operational edge. This enables enterprises to scale AI deployments at the edge, reducing the time and cost to deploy with faster response times.

Modeling 88

Modeling Enterprise Software Machine Learning 88

Cloudera

NOVEMBER 25, 2021

We have a joint vision to support acceleration, cost optimisation, and optimal experiences for cloud adoption to businesses across every industry. . A modern, cloud-native data architecture with separation of compute and storage, containerized data services (for agility and elasticity), and object storage (for scale and cost-efficiency).

Machine Learning 88

Machine Learning IoT Risk Digital Transformation 88

Occam's Razor

FEBRUARY 26, 2008

So understand how the benchmark is computed, make sure you have access to the best possible data and then go compare trends. Our company "owned" a category term. There were only two companies essentially competing and this was the Category key term. Remember comparing for one point in time is usually sub optimal.

Management 68

Management Experimentation Testing Strategy 68

DataRobot Blog

MARCH 9, 2022

In simple terms, it computes the relative count of each word in a document reweighted by its prevalence over all documents in a set. (We The only caveat is that they must be adapted to classify inputs into one of n emotional categories rather than a binary positive or negative. We use the term “document” loosely.) Further reading.

Machine Learning 52

Machine Learning Deep Learning Modeling Measurement 52

CIO Business Intelligence

OCTOBER 23, 2023

GenAI at a high level Computer vision and speech recognition technologies are among some of the most popular, helping organizations build anything from augmented reality software to virtual assistants. 1 Under the hood differences There are fundamental differences between how the various AI categories function.

Sales 130

Sales Unstructured Data Interactive Marketing 130

CIO Business Intelligence

APRIL 27, 2022

Being crystal clear about “why” will provide the vision for the use case you can seek to develop; it will force you to derive a compelling value proposition and identify the KPIs that will guide and measure success. Think of this as compute, storage, and networking as a service. and “how to do it?”,

Strategy 138

Strategy Data-driven Internet of Things Measurement 138

O'Reilly on Data

JANUARY 25, 2021

In our industry, cloud computing might be a good example. Julia, a language designed for mathematical computation, is an interesting wild card. Low-code and no-code computing It’s hard for a learning platform to gather data about a trend that minimizes the need to learn, but low-code is real and is bound to have an effect.

Machine Learning 363

Machine Learning Software Testing Technology 363

IBM Big Data Hub

FEBRUARY 9, 2024

The evolution of generative AI has mirrored that of computers, albeit on a dramatically accelerated timeline. Massive, centrally operated mainframe computers from a few players gave way to smaller, more efficient machines accessible to enterprises and research institutions.

Cost-Benefit 102

Cost-Benefit Modeling Data-driven Enterprise 102