CIO Business Intelligence

FEBRUARY 10, 2023

billion in 2022, according to a research study published by The Insight Partners in August 2022. The report projects the market will reach $38 billion by 2028, growing at a compound annual growth rate (CAGR) of about 20.4% Predictive analytics has captured the support of wide range of organizations, with a global market size of $12.49

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

IBM Big Data Hub

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. MLOps is the next evolution of data analysis and deep learning. Simply put, MLOps uses machine learning to make machine learning more efficient.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

Cloudera

FEBRUARY 16, 2022

For example, if you need to build a model for customer churn prediction, you can initiate a new churn modelling with scikit-learn project within Cloudera’s management console or via a call to CML’s RESTful API service. It is also possible to create your own AMP and publish it in the AMP catalogue for consumption.

Machine Learning 86

Machine Learning Modeling Metadata Recreation/Entertainment 86

FineReport

OCTOBER 21, 2019

Tableau lacks functionality required for a comprehensive business intelligence tool, such as large-scale reporting, the building of data tables, and static layouts. Pro: Easy to make complex reports. The capacity for dealing with complex reports is impressive. Only the owner of folders and dashboards can publish any changes.

Visualization 91

Visualization Dashboards Cost-Benefit Software 91

Smart Data Collective

SEPTEMBER 9, 2019

The majority of machine learning and deep learning solutions have focused on fundamental analysis of securities. However, deep learning and other artificial intelligence technologies will also change the future of technical analysis as well. New developments in deep learning with technical analysis.

Deep Learning 65

Deep Learning Forecasting Machine Learning Strategy 65

Insight

AUGUST 17, 2020

We’re happy to report that we successfully adapted what we’ve learned during that time to all 7 of our programs across all locations. This summer, Fellows reported that they enjoyed the ease of meeting with other Fellows and Insight staff members every day without the wasted time of having to commute.

Data Science 63

Data Science Data Processing Cost-Benefit Strategy 63

Cloudera

SEPTEMBER 12, 2018

AbbVie’s platform uses analytics and machine learning, including natural language processing, deep learning, and unsupervised learning, to proactively identify issues and opportunities. Bob Gourley , Founder Crucial Point LLC and Publisher, CTOvision.com, ThreadBrief.com, @BobGourley.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

CIO Business Intelligence

APRIL 15, 2022

According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year. And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. But like oil, data and analytics have their dark side.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Cloudera

NOVEMBER 3, 2021

Thanks to pioneers like Andrew NG and Fei-Fei Li, GPUs have made headlines for performing particularly well with deep learning techniques. Today, deep learning and GPUs are practically synonymous. While deep learning is an excellent use of the processing power of a graphics card, it is not the only use.

Deep Learning 118

Deep Learning Machine Learning Data Science Cost-Benefit 118

Domino Data Lab

JULY 22, 2019

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. If you look into the middle bucket, they have three things that they report in common. Now, working down to the mature part of this, they report two things in common. You know what?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Smarten

APRIL 19, 2024

The use of Generative AI, LLM and products such as ChatGPT capabilities has been applied to all kinds of industries, from publishing and research to targeted marketing and healthcare. Nothing…and I DO mean NOTHING…is more prominent in technology buzz today than Artificial Intelligence (AI). billion, with the market growing by 31.1%

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

Domino Data Lab

APRIL 3, 2019

Not that I’m implying anything about current economic conditions vis-a-vis the timing of this report… #justsayin. We find ways to improve machine learning so that it requires orders of magnitude more data, e.g., deep learning with neural networks. Agile Manifesto get published. faster than overall IT spending.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

MARCH 3, 2019

We had big surprises at several turns and have subsequently published a series of reports. Let’s look through some of the insights gained from those reports. Seriously, this entire article merely skims the surface of those reports. The data types used in deep learning are interesting.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

IBM Big Data Hub

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. A wide range of organization types use open source LLMs.

Risk 92

Risk Modeling Cost-Benefit Enterprise 92

AWS Big Data

OCTOBER 26, 2023

To quantify this, we look at the price-performance using published on-demand pricing for each of the warehouses in the preceding test, shown in the following chart. The latest published on-demand pricing is used for all data warehouses and not Reserved Instance pricing as noted earlier.

Data Warehouse 96

Data Warehouse Cost-Benefit Dashboards Optimization 96

Occam's Razor

AUGUST 28, 2017

Over the last couple years, I’ve spent an increasing amount of time diving into the possibilities Deep Learning (DL) offers in terms of what we can do with Artificial Intelligence (AI). The first related to pure deep learning and its amazingness, I was familiar with this one. Pretty damn fast. It truly is mind-blowing.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

Domino Data Lab

OCTOBER 9, 2019

It introduced two interesting practices, over and above publishing metadata to describe datasets, described by Tyler Christensen : machine-readable data dictionaries. The saildrones collect data and report back via a satellite uplink with the Iridium network. Machine Learning: Recent Advances and Executive Briefings.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

DataRobot

NOVEMBER 9, 2021

“One look is worth a Thousand Words” This phrase was used in 1913 to convey that graphics had a place in newspaper publishing. When we convert the single channel audio signal time series into an energy spectrogram, it allows us to run state of the art deep learning architectures on the image. . Image courtesy towardsAI.

Visualization 52

Visualization Unstructured Data Statistics Metrics 52

BizAcuity

MARCH 31, 2022

There have been so many articles published about AI and its applications, you can find millions of articles from broad concepts to deep technical literature on the internet. Predictive analytics, with the help of machine learning, keeps getting more accurate with the continuous inflow of data. AI in Ecommerce.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Ontotext

MAY 22, 2023

We use other deep learning techniques for such tasks. Doug Kimball : A Content Management System (CMS) is mainly focused on managing, organizing and publishing content, while a knowledge graph is designed to capture the meaning behind the data. That’s something that LLMs cannot do. How is what Ontotext does different from a CMS?

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

IBM Big Data Hub

MAY 9, 2023

After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. 1] When comparing published 2023 list prices normalized for VPC hours of watsonx.data to several major cloud data warehouse vendors.

Data Warehouse 107

Data Warehouse Machine Learning Cost-Benefit Metadata 107

CONTACT Software

FEBRUARY 19, 2019

In line with this, Gartner has now published a “ Magic Quadrant for Data Science and Machine Learning Platforms “ The document itself can only be viewed behind a paywall, but on the net some of the companies mentioned in the report offer access to the document by entering the address.

Data Science 40

Data Science Statistics Machine Learning Deep Learning 40

Insight

FEBRUARY 13, 2019

He is currently a machine learning engineer at Casetext where he works on natural language processing for the legal industry. In late 2018, Google open-sourced BERT, a powerful deep learning algorithm for natural language processing. Prior to Insight, he was at IBM Watson. You should see output regarding progress as it runs.

Testing 72

Testing Machine Learning Deep Learning Modeling 72

Domino Data Lab

MAY 8, 2019

For example, in the case of more recent deep learning work, a complete explanation might be possible: it might also entail an incomprehensible number of parameters. As the O’Reilly surveys and other recent reports have demonstrated, the state of “Product Management for AI” is still barely even evolved to a primordial soup stage.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

JULY 9, 2019

When I showed up I was reporting to the head of BI who reported to CTO who reported to CIO who reported to EVP of digital products who reported to CEO. At this point data is a function that reports directly to CEO. This is the citation count for this paper which was published in 1933.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

O'Reilly on Data

SEPTEMBER 11, 2019

Spark has emerged as the general-purpose data processing engine of choice; interest in Hadoop is waning, although reports of its death are greatly exaggerated. Deep learning,” for example, fell year over year to No. Data engineering is an intense focus of interest and innovation, with data-in-motion—e.g., 221) to 2019 (No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Smart Data Collective

OCTOBER 13, 2021

Over time, it is true that artificial intelligence and deep learning models will be help process these massive amounts of data (in fact, this is already being done in some fields). Multi-channel publishing of data services. However, there will always be a decisive human factor, at least for a few decades yet.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

O'Reilly on Data

JANUARY 25, 2021

In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. Look at all the angst heating up social media when TIOBE or RedMonk releases their reports on language rankings. But what are “trends”?

Machine Learning 363

Machine Learning Software Testing Technology 363

Smart Data Collective

MARCH 16, 2020

Deep learning is likely to play an essential role in keeping costs in check. Deep Learning is Necessary to Create a Sustainable Medicare for All System. He should elaborate more on the benefits of big data and deep learning. A lot of big data experts argue that deep learning is key to controlling costs.

Deep Learning 78

Deep Learning Unstructured Data Cost-Benefit Big Data 78

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!). " Years of proficiency in analyzing m campaigns for n channels resulting in production of z reports. Intro to Machine Learning. Machine Learning.

Marketing 136

Marketing Analytics Machine Learning Strategy 136