Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

Smart Data Collective

AUGUST 6, 2020

At Smart Data Collective, we have talked about a few impressive technological trends that are shaping modern business in the 21st-century. Video marketing is another major technological breakthrough that is proving to pay massive dividends. These two new forms of technology can work seamlessly with each other.

Deep Learning 117

Deep Learning Visualization Data-driven Marketing 117

Rocket-Powered Data Science

MAY 21, 2024

Pure Storage empowers enterprise AI with advanced data storage technologies and validated reference architectures for emerging generative AI use cases. Summary AI devours data. In deep learning applications (including GenAI, LLMs, and computer vision), a data object (e.g.,

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

Occam's Razor

MARCH 30, 2017

Our current red flags are sourced from what human means today, what works means today, what our relationship with technology means today. People tend to use these phrases almost interchangeably: Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning. Deep Learning is a specific ML technique.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

O'Reilly on Data

JUNE 18, 2019

A recent O’Reilly survey found that those with mature AI practices (as measured by how long they’ve had models in production) cited “Lack of data or data quality issues” as the main bottleneck holding back further adoption of AI technologies. The problem is even more magnified in the case of structured enterprise data.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

Smart Data Collective

DECEMBER 1, 2022

As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing. Each of these trends will continue to shape the way companies use data in the coming years. An increase in computing power.

Big Data 145

Big Data Internet of Things Data-driven Deep Learning 145

CIO Business Intelligence

APRIL 25, 2022

It’s a fast growing and lucrative career path, with data scientists reporting an average salary of $122,550 per year , according to Glassdoor. Here are the top 15 data science boot camps to help you launch a career in data science, according to reviews and data collected from Switchup. Data Science Dojo.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

CIO Business Intelligence

SEPTEMBER 19, 2023

Voice assistants, chatbots, and conversational AI Conversational AI tools such as chatbots and voice assistants have grown in popularity, making technology more accessible, offering support to customers, and reducing the load on IT support representatives.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

O'Reilly on Data

MARCH 31, 2020

That foundation means that you have already shifted the culture and data infrastructure of your company. If you’re just learning to walk, there are ways to speed up your progress. Having something you can demo takes some of the pressure off your machine learning team. Managing Machine Learning Projects” (AWS).

Management 363

Management Machine Learning Experimentation Metrics 363

IBM Big Data Hub

SEPTEMBER 6, 2023

AI marketing is the process of using AI capabilities like data collection, data-driven analysis, natural language processing (NLP) and machine learning (ML) to deliver customer insights and automate critical marketing decisions. What is AI marketing?

Marketing 78

Marketing Technology Advertising Machine Learning 78

CIO Business Intelligence

SEPTEMBER 22, 2022

From the rise of remote work to constant innovations in emerging technologies, the breakneck pace of global disruptions is spurring Asia Pacific’s digital growth. Instead, businesses have to identify the most suitable technologies for specific scenarios, even if it means tapping on multiple solutions to address their precise needs.

Technology 52

Technology Digital Transformation Broadcasting Uncertainty 52

bridgei2i

MARCH 9, 2021

Using AI for Technology Industry Solutions – Why AI is the New Internet. The use of AI for technology industry solutions in 2021 is similar to using the internet for commercial or economic purposes in the early 90s. Plus, the technology industry is the first to adopt these technologies rapidly.

Technology 52

Technology Deep Learning Data-driven Machine Learning 52

Smart Data Collective

APRIL 25, 2022

A lot of organizations don’t recognize the role that AI technology can play when it comes to business management, improving customer relationships and managing your business’s online profile. Artificial intelligence technology can have a large impact on how a business manages its online profiles.

Management 144

Management Machine Learning Marketing Deep Learning 144

CIO Business Intelligence

DECEMBER 15, 2023

That’s why municipal governments all around the world are making strategic investments in technology toward becoming a digital city. That’s where Dell PowerEdge XR servers with Intel® technologies come in. They’re built extra rugged for life at the edge and support the latest GPUs for powerful AI performance.

Testing 96

Testing Deep Learning Optimization Data Collection 96

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics in business Predictive analytics draws its power from a wide range of methods and technologies, including big data, data mining, statistical modeling, machine learning, and assorted mathematical processes. from 2022 to 2028. Energy: Forecast long-term price and demand ratios.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Cloudera

NOVEMBER 19, 2020

Furthermore, the same tools that empower cybercrime can drive fraudulent use of public-sector data as well as fraudulent access to government systems. Technology can help. In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud.

Machine Learning 119

Machine Learning Data-driven Modeling Deep Learning 119

Smart Data Collective

MAY 8, 2022

Let’s not forget that big data and AI can also automate about 80% of the physical work required from human beings, 70% of the data processing, and more than 60% of the data collection tasks. From the statistics shown, this means that both AI and big data have the potential to affect how we work in the workplace.

Big Data 122

Big Data Data Analytics Analytics Statistics 122

Decision Management Solutions

FEBRUARY 8, 2021

As you’ll see, the development of this amazing, one-of-a-kind vessel led to a conclusion that we at Decision Management Solutions see every day in our client work: It’s never enough to just rely on artificial intelligence (AI)/machine learning (ML) to do all the decision-making. Let’s turn to the AI technology part.

Machine Learning 93

Machine Learning Testing Deep Learning Optimization 93

IBM Big Data Hub

MAY 17, 2023

They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. It can offer data on demand to different business units within an organization, with the help of various sensors and payloads. The global commercial drone market is projected to grow from USD 8.15

Data Collection 76

Data Collection Visualization Data-driven Unstructured Data 76

Cloudera

FEBRUARY 4, 2019

Late last year, the news of the merger between Hortonworks and Cloudera shook the industry and gave birth to the new Cloudera – the combined company with a focus on being an Enterprise Data Cloud leader and a product offering that spans from edge to AI.

IoT 73

IoT Prescriptive Analytics Internet of Things Digital Transformation 73

IBM Big Data Hub

NOVEMBER 14, 2023

Each data product has its own lifecycle environment where its data and AI assets are managed in their product-specific data lakehouse. Flexibility in data collection is made possible when product lakehouses connect to and ingest data from many sources, using many different technology protocols.

Strategy 103

Strategy Data-driven Cost-Benefit Measurement 103

IBM Big Data Hub

APRIL 22, 2024

To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. This Earth Day, we are calling for action to conserve our scarcest resource: the planet.

IoT 77

IoT Internet of Things Cost-Benefit Reporting 77

IBM Big Data Hub

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development.

Enterprise 95

Enterprise Interactive Data-driven Key Performance Indicator 95

DataRobot

OCTOBER 20, 2021

Data literacy is a key component for any organization to be able to scale responsible and trusted artificial intelligence technology. The flow of data through an organization: Mapping how data flows through an organization helps organizations get and stay aligned on potential bias risks with data collection and data degradation.

Machine Learning 52

Machine Learning Metrics Deep Learning Risk 52

Ontotext

DECEMBER 15, 2023

The official (first) repo is tensorflow/tensor2tensor that has topics: machine-learning reinforcement-learning deep-learning machine-translation tpu. By exploring the first topic machine-learning , we find 117k Github repos. The taxonomy integrates various data sources, offering a holistic view of AI innovation.

Machine Learning 69

Machine Learning Deep Learning Interactive Statistics 69

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. Technologies. Or something.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

IBM Big Data Hub

AUGUST 11, 2023

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

Occam's Razor

OCTOBER 12, 2017

Or, maybe I'm just too deep into this stuff. :). I had two big ah-ha moments that have changed my view if humans can be competitive in any field compared to what technology will spring forth. Intro to Machine Learning. Machine Learning. Deep Learning. All three of these courses are free: 1.

Marketing 138

Marketing Analytics Machine Learning Strategy 138

Domino Data Lab

JUNE 23, 2019

It used deep learning to build an automated question answering system and a knowledge base based on that information. It is like the Google knowledge graph with all those smart, intelligent cards and the ability to create your own cards out of your own data. Now many people are using Spark. It just looks like plausible English.

Management 110

Management Machine Learning Experimentation Metrics 110

O'Reilly on Data

JULY 28, 2020

The Ethical OS also provides excellent tools for thinking through the impact of technologies. Years ago a health and fitness technology company realized that its content moderators, used to manually detect and remediate offensive content on its platform, were experiencing extreme fatigue and very poor mental health outcomes.

Marketing 364

Marketing Experimentation Metrics Testing 364

CIO Business Intelligence

JULY 25, 2024

These technologically modern municipalities use a variety of systems, devices, and sensors to enhance services and operations, manage assets, and increase efficiency — fueled by the power of data. Emphasizing data-driven decision-making in Aurora In 2018, the City of Aurora, Ill.,

IT 131

IT Data-driven Digital Transformation Data Collection 131

Domino Data Lab

MAY 8, 2019

Several technology conferences all occurred within four fun-filled weeks: Strata SF , Google Next , CMU Summit on US-China Innovation, AI NY , and Strata UK , plus some other events. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. .

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

OCTOBER 9, 2019

We’ll examine National Oceanic and Atmospheric Administration (NOAA) data management practices which I learned about at their workshop, as a case study in how to handle data collection, dataset stewardship, quality control, analytics, and accountability when the stakes are especially high. How cool is that?!

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

CIO Business Intelligence

MARCH 30, 2022

It’s not a technology,” says Gartner analyst Erick Brethenoux. It’s a discipline made of many different technologies.”. Decision intelligence is one of the top strategic technology trends for 2022 , according to the analyst firm, with more than a third of large organizations expected to be practicing the discipline by 2023.

Machine Learning 144

Machine Learning Testing Risk Data Collection 144

IBM Big Data Hub

FEBRUARY 14, 2024

McDonald’s is building AI solutions for customer care with IBM Watson AI technology and NLP to accelerate the development of its automated order taking (AOT) technology. AI platforms can use machine learning and deep learning to spot suspicious or anomalous transactions.

Cost-Benefit 82

Cost-Benefit Insurance Machine Learning Unstructured Data 82

Domino Data Lab

JULY 22, 2019

We’ve got this complex landscape, tons of data sharing, an economy of data, external data, tons of mobile devices. and drop your deep learning model resource footprint by 5-6 orders of magnitude and run it on devices that don’t even have batteries. You can take TensorFlow.js

Data Science 109

Data Science Machine Learning Data Governance Modeling 109