Smart Data Collective

FEBRUARY 14, 2023

AI Helps with the Rollout of Impressive New Browser-Based Solutions Mobile apps represent a huge market valued at over $200 billion in 2022 and are expected to top $400 billion by 2028. It’s seemingly compulsory for most developers to build mobile versions of their applications or risk losing millions of potential users.

Risk 114

Risk Technology Optimization Machine Learning 114

erwin

JULY 30, 2020

As well as insulating the project from stalling should the/an architect leave, the approach speeds up time-to-markets by making communication more efficient. was released in 2017. This means that the project can be reviewed by different stakeholders, and the diagrams can be untethered from any one architect. History of ArchiMate.

Enterprise 138

Enterprise Visualization Modeling Testing 138

CIO Business Intelligence

JANUARY 23, 2023

23, 2023, is likely to shake up the market for AI-based enterprise services, said Rajesh Kandaswamy, distinguished analyst and fellow at Gartner: “It provides additional impetus for Google to relook at its roadmap. That app, Microsoft Designer , is currently in closed beta test. The deal, announced by OpenAI and Microsoft on Jan.

Enterprise 131

Enterprise Deep Learning Recreation/Entertainment Interactive 131

Smart Data Collective

DECEMBER 17, 2020

The market for data solutions in healthcare is expected to be worth $67.8 billion by 2025 , which is a remarkable 303% increase from 2017. The risk of medical errors is also significantly reduced. As a result, patients don’t have to do the same lab tests multiple times, even if they treat several diseases at once.

Data-driven 116

Data-driven Big Data Software Risk 116

Cloudera

MAY 15, 2018

Cloudera Enterprise is the market leader in this space and working closely with the wider open source community to integrate the latest innovations in machine learning and artificial intelligence (AI). Derman (2016), Cesa (2017) & Bouchard (2018)). Probability, Uncertainty and Quantitative Risk (2017) 2:6.

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

IBM Big Data Hub

JULY 19, 2023

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Content creation : Personas, user stories, synthetic data, generating images, personalized UI, marketing copy, email and social responses and more.

Consulting 62

Consulting Machine Learning Manufacturing Optimization 62

IBM Big Data Hub

MAY 26, 2023

In 2017, 94% of hospitals used electronic clinical data from their EHR. With the growth in usage of digital technology and cloud in the life sciences industry, digital information is more readily available and at a greater risk for exploitation. million.

Consulting 77

Consulting Cost-Benefit Optimization Machine Learning 77

CIO Business Intelligence

APRIL 24, 2023

How we got here The most notable enabling technologies in generative AI are deep learning, embeddings, transfer learning (all of which emerged in the early to mid-2000s), and neural net transformers (invented in 2017). One of the most important of such architectures, the “transformer,” was developed in 2017.

Enterprise 52

Enterprise Deep Learning Modeling Machine Learning 52

Cloudera

MAY 18, 2021

This article is the second in a multipart series to showcase the power and expressibility of FlinkSQL applied to market data. Speed matters in financial markets. Event-driven and streaming architectures enable complex processing on market events as they happen, making them a natural fit for financial market applications.

Risk 93

Risk Marketing Risk Management Data-driven 93

Alation

FEBRUARY 13, 2020

We also have some primary insurance entities in the group, but the main thing about reinsurance is that we’re taking care of the big and complex risks in the world. I know in February of 2017 Munich Re launched their own innovative platform as a cornerstone for analytics that involved a big data lake and a data catalog.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

Smarten

NOVEMBER 22, 2017

Your organization can test theories and hypotheses in a risk-free environment without making a market misstep and predict the outcome of pricing changes, new product introductions, supplier changes, added locations and other crucial proposed changes.

Analytics 40

Analytics IT Business Intelligence Visualization 40

Jet Global

SEPTEMBER 4, 2020

When Microsoft released the next generation of the product in 2017, Microsoft Dynamics 365 for Finance and Supply Chain Management (D365F&SCM) , there were some significant changes behind the scenes. Because ADLS is new technology, there simply isn’t a lot of experience on the market. Data Entities. Another Alternative to BYOD.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

CIO Business Intelligence

MARCH 22, 2022

Roopesh Pujari has been promoted to CTO at marketing and advertising firm Publicis Groupe India. At Fractal, Tiwari will be responsible for the company’s digital transformation and overseeing IT operations, cybersecurity, and risk management. . Publicis Groupe India names Roopesh Pujari as CTO. Roopesh Pujari Roopesh Pujari.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. MIT Technology Review has chronicled a number of failures, most of which stem from errors in the way the tools were trained or tested. The algorithm learned to identify children, not high-risk patients.

Analytics 145

Analytics Machine Learning Insurance Testing 145

O'Reilly on Data

MARCH 23, 2023

What is it, how does it work, what can it do, and what are the risks of using it? All of these models are based on a technology called Transformers , which was invented by Google Research and Google Brain in 2017. It’s commonly believed that the more parameters, the better; that’s at least a good story for marketing to tell.

IT 264

IT Modeling Testing Risk 264

O'Reilly on Data

APRIL 25, 2019

Due to the nascency of cryptocurrency markets, volatility has remained a staple for both outside observers and users. In 2017, the revenue opportunities exceeded $1.9 With the rise of stablecoins, businesses incur smaller currency risks and transaction fees. The volatility problem is one such important candidate.

Cost-Benefit 109

Cost-Benefit Risk Marketing Finance 109

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Challenges for Transparency ”. Riccardo Guidotti, et al.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

MAY 20, 2021

Their tests are performed using C4.5-generated This carries the risk of this modification performing worse than simpler approaches like majority under-sampling. note that this variant “performs worse than plain under-sampling based on AUC” when tested on the Adult dataset (Dua & Graff, 2017). Chawla et al.,

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

O'Reilly on Data

DECEMBER 9, 2019

We use the diagnostic test results of our regression model to support the reasons why CIs should not be used in financial data analyses. Modern portfolio theory assumes that rational, risk-averse investors demand a risk premium, a return in excess of a risk-free asset such as a treasury bill, for investing in risky assets such as equities.

Statistics 27

Statistics Uncertainty Risk Marketing 27

Domino Data Lab

AUGUST 8, 2019

following a breakthrough paper or two, plus changes in market microstructure). The probabilistic nature changes the risks and process required. We face problems—crises—regarding risks involved with data and machine learning in production. Some people are in fact trained to work with these kinds of risks. No big deal.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

datapine

NOVEMBER 27, 2019

This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks. Industries harness predictive analytics in different ways.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson. M&A volume climbed from $3.26

Technology 143

Technology Enterprise Consulting Software 143

O'Reilly on Data

JANUARY 25, 2021

Even small restaurants and farm markets were adding online ordering features to their websites. Both SRE and DevOps emphasize similar practices: version control (62% growth for GitHub, and 48% for Git), testing (high usage, though no year-over-year growth), continuous deployment (down 20%), monitoring (up 9%), and observability (up 128%).

Machine Learning 363

Machine Learning Software Testing Technology 363

Alation

AUGUST 26, 2021

Privacy, Risk and Compliance. HBR Review May/June 2017. Today, BI represents a $23 billion market and umbrella term that describes a system for data-driven decision-making. Artificial Intelligence, too, is a fast-growing market, valued at $21 billion. Next, you test these use cases with the software chosen.

Metadata 64

Metadata Data Governance Dashboards Software 64