CIO Business Intelligence

OCTOBER 10, 2023

So, what are its implications for the enterprise and cybersecurity? A technology inflection point Generative AI operates on neural networks powered by deep learning systems, just like the brain works. These systems are like the processes of human learning. It inspires awe and unease — and often both at the same time.

Enterprise 109

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bridgei2i

JANUARY 17, 2021

Case study: Autonomous Underwriting Decisioning Using Deep Learning. The solution helped the enterprise reduce manual effort, streamline existing processes & improve overall underwriting quality. Learn how the right AI strategy can take your business to its pinnacle. Business Context. How BRIDGEi2i Delivered Value?

Deep Learning 52

Deep Learning Insurance Enterprise Strategy 52

DataRobot

APRIL 3, 2020

DataRobot is known for its enterprise AI platform which democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This has begun to change. It also provides powerful automated insights to provide transparency under the hood.

Deep Learning 71

Deep Learning Machine Learning Testing Data Science 71

O'Reilly on Data

NOVEMBER 8, 2018

In this episode of the Data Show , I spoke with Francesca Lazzeri , an AI and machine learning scientist at Microsoft, and her colleague Jaya Mathew , a senior data scientist at Microsoft. I wanted to learn some of the processes and tools they use when they assist companies in beginning their machine learning journeys.

Machine Learning 182

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CIO Business Intelligence

SEPTEMBER 19, 2023

And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand. AI personalization utilizes data, customer engagement, deep learning, natural language processing, machine learning, and more to curate highly tailored experiences to end-users and customers.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” The best option for an enterprise organization depends on its specific needs, resources and technical capabilities.

Enterprise 120

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CIO Business Intelligence

JANUARY 23, 2023

A move that is likely to unlock similar investments from competitors — Google in particular — and open the way for new or improved software tools for enterprises large and small. Up to that point, OpenAI had only allowed enterprises and academics access to the software through a limited API.

Enterprise 130

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David Menninger's Analyst Perspectives

SEPTEMBER 16, 2021

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization.

Data Science 340

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O'Reilly on Data

FEBRUARY 4, 2019

have been in use at enterprises across the globe for several years. Deep Learning. Continue reading Artificial intelligence and machine learning adoption in European enterprise. One of the newer systems is Apache Pulsar , a promising new messaging system that unifies queuing and streaming. Retail and e-commerce.

Machine Learning 276

Machine Learning Enterprise IoT Big Data 276

Cloudera

OCTOBER 17, 2017

Deep learning is in the news. But deep learning is a tool that enterprises use to solve practical problems. In this blog, we provide a few examples that show how organizations put deep learning to work. In this blog, we provide a few examples that show how organizations put deep learning to work.

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IBM Big Data Hub

MAY 9, 2023

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. But these powerful technologies also introduce new risks and challenges for enterprises. Efficient foundation models focused on enterprise value IBM’s new watsonx.ai

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IBM Big Data Hub

FEBRUARY 23, 2024

Enterprises can use NLU to offer personalized experiences for their users at scale and meet customer needs without human intervention. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. billion by 2030.

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CIO Business Intelligence

APRIL 17, 2024

But what we’re learning from public announcements like these might just scratch the surface of gen AI use cases for the enterprise. In 2018, DeepMind, now a subsidiary of Alphabet, developed AlphaFold, a deep learning system that learns from a database of existing proteins and predicts their 3D structures.

Enterprise 115

Enterprise Testing Digital Transformation Software 115

Cloudera

JULY 27, 2021

They’re outward facing, something polished that could be presented to enterprise users. Recently, we’ve been bringing these front-ends to the Cloudera Machine Learning, with applied machine learning prototypes (AMPs). The post Enterprise Data Science Workflows with AMPs and Streamlit appeared first on Cloudera Blog.

Data Science 115

Data Science Enterprise Experimentation Machine Learning 115

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. However, this data was still left mostly unexploited for its maximum potential and enterprise-wide business value. Summary AI devours data. AI Then and AI Now!

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Dataiku

MARCH 23, 2022

They are experts in the entire business intelligence chain and the transformation of financial performance processes in the enterprise. This blog is a guest post from our friends at Indizen-Scalian.

Deep Learning 72

Deep Learning Digital Transformation Business Intelligence Big Data 72

CIO Business Intelligence

APRIL 24, 2023

Generative AI (Artificial Intelligence) and its underlying foundation models represent a paradigm shift in innovation, significantly impacting enterprises exploring AI applications. Deep learning emerged in academia in the early 2000s, with broader industry adoption starting around 2010.

Enterprise 52

Enterprise Deep Learning Modeling Machine Learning 52

Rocket-Powered Data Science

JULY 6, 2023

LLMs are a subset of the deep learning field of natural language processing (NLP), which includes natural language understanding (NLU) and natural language generation (NLG). that we can all experiment with, the applications in the enterprise can be tremendously impactful and transformative for organizations and the future of work.

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Cloudera

AUGUST 20, 2020

But out of disruption, we’ve seen incredible innovation born into the enterprise. The imperative to deliver meaningful change and value through innovation is why the Data for Enterprise AI category at the Data Impact Awards has never been more of the moment than it is today. But UOB didn’t stop there.

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Cloudera

OCTOBER 5, 2020

Cloudera announced today a new collaboration with NVIDIA that will help Cloudera customers accelerate data engineering, analytics, machine learning and deep learning performance with the power of NVIDIA GPU computing across public and private clouds. With this deluge of data flooding every enterprise, what should businesses do?

Enterprise 91

Enterprise Machine Learning Deep Learning Software 91

O'Reilly on Data

MARCH 19, 2020

Our analysis of ML- and AI-related data from the O’Reilly online learning platform indicates: Unsupervised learning surged in 2019, with usage up by 172%. Deep learning cooled slightly in 2019, slipping 10% relative to 2018, but deep learning still accounted for 22% of all AI/ML usage.

Deep Learning 274

Deep Learning Machine Learning Data-driven Modeling 274

Corinium

SEPTEMBER 6, 2021

RE•WORK is the leading events provider for deep learning as well as applied AI. It has been delivering in-depth business insights, advice and tools to C-suite executives across the enterprise since it was founded in 2013. Corinium is a specialist market intelligence, advisory and events company.

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Cloudera

OCTOBER 1, 2022

Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. As a result, growing global compliance and regulations for data are top of mind for enterprises that conduct business worldwide. Listen to the full podcast episode here. “It

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Data Governance Strategy Enterprise Machine Learning 73

CIO Business Intelligence

JANUARY 24, 2024

It’s the culmination of a decade of work on deep learning AI. Deep learning AI: A rising workhorse Deep learning AI uses the same neural network architecture as generative AI, but can’t understand context, write poems or create drawings. You probably know that ChatGPT wasn’t built overnight.

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CIO Business Intelligence

OCTOBER 13, 2023

As this technology becomes more popular, it’s increased the demand for relevant roles to help design, develop, implement, and maintain gen AI technology in the enterprise. This role is responsible for training, developing, deploying, scheduling, monitoring, and improving scalable machine learning solutions in the enterprise.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Rocket-Powered Data Science

JULY 6, 2021

This is critical in our massively data-sharing world and enterprises. 7) Deep learning (DL) may not be “the one algorithm to dominate all others” after all. There was some research published earlier in 2020 that found that traditional, less complex algorithms can be nearly as good or better than deep learning on some tasks.

Data-driven 279

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Domino Data Lab

APRIL 29, 2021

Deep learning enthusiasts are increasingly putting NVIDIA’s GTC at the top of their gotta-be-there conference list. Three of them were particularly compelling and inspired a new point of view on transfer learning that I feel is important for analytical practitioners and leaders to understand. Deep Learning Trends from GTC21.

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CIO Business Intelligence

AUGUST 4, 2022

It’s no different when building a team for an enterprise AI project; you can’t just throw a bunch of data scientists into a room and expect them to come up with a revenue-generating or efficiency-improving project without support from other members of the enterprise. MLOps to the rescue.

Deep Learning 121

Deep Learning Data Science Enterprise Modeling 121

Domino Data Lab

AUGUST 9, 2021

For a model-driven enterprise, having access to the appropriate tools can mean the difference between operating at a loss with a string of late projects lingering ahead of you or exceeding productivity and profitability forecasts. Before selecting a tool, you should first know your end goal – machine learning or deep learning.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

Rocket-Powered Data Science

JULY 13, 2023

Data is more than just another digital asset of the modern enterprise. ” “How can I learn more about what’s going on here?” As illustrated here, you can practically see the speed of business questions accelerating across the whole enterprise. It is an essential asset. ” And so, on it goes!

Analytics 167

Analytics Machine Learning Data Science Deep Learning 167

IBM Big Data Hub

DECEMBER 15, 2023

As a result, these technologies quite often lead to the best tools to handle complex challenges across many enterprise use cases. Enterprises may expose their stakeholders to risk when they use technologies that they didn’t build in-house.

Deep Learning 66

Deep Learning Experimentation Machine Learning Risk 66

O'Reilly on Data

MAY 21, 2019

I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies. This is a good time to assess enterprise activities, as there are many indications a number of companies are already beginning to use machine learning.

Machine Learning 234

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O'Reilly on Data

JANUARY 7, 2020

In fact, in our 2019 surveys, more than half of the respondents said AI (deep learning, specifically) will be part of their future projects and products—and a majority of companies are starting to adopt machine learning. To stay competitive, data scientists need to at least dabble in machine and deep learning.

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CIO Business Intelligence

JULY 5, 2023

Generative AI is raising the interest level even further as organizations begin testing different use cases for deep-learning models. A game changer “There are many opportunities for AI within the browser,” says Lorena Crowley, Head of Chrome Enterprise Marketing at Google.

Machine Learning 85

Machine Learning Deep Learning Consulting Enterprise 85

O'Reilly on Data

DECEMBER 6, 2018

The O’Reilly Data Show Podcast: Alex Wong on building human-in-the-loop automation solutions for enterprise machine learning. As the use of machine learning and analytics become more widespread, we’re beginning to see tools that enable data scientists and data engineers to scale and tackle many more problems and maintain more systems.

Deep Learning 132

Deep Learning Machine Learning Data Science Enterprise 132

O'Reilly on Data

FEBRUARY 11, 2019

The resource examples I’ll cite will be drawn from the upcoming Strata Data conference in San Francisco , where leading companies and speakers will share their learnings on the topics covered in this post. AI and machine learning in the enterprise. AI and machine learning in the enterprise. Deep Learning.

Big Data 207

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CIO Business Intelligence

JANUARY 25, 2024

With two decades of experience as a human resources leader, Deepa Subbaiah, a senior director for HR at Freshworks, has deep expertise in exploring how enterprise teams can get the most out of workplace tech, from first-generation SaaS applications in the early 2000s to today’s AI-powered chatbots.

Deep Learning 99

Deep Learning Cost-Benefit Statistics Manufacturing 99