CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. The patients who were lying down were much more likely to be seriously ill, so the algorithm learned to identify COVID risk based on the position of the person in the scan. The refrain has been repeated ever since.

Analytics 145

Analytics Machine Learning Insurance Testing 145

CIO Business Intelligence

DECEMBER 12, 2022

Microsoft CEO Satya Nadella also welcomed the announcement, saying in a press release that “advances in the cloud and AI will fundamentally transform how financial institutions research, interact, and transact across asset classes, and adapt to changing market conditions.

Manufacturing 111

Manufacturing Interactive Marketing Publishing 111

datapine

APRIL 14, 2022

In 2017 the company wanted to take its shopping experience one step further by creating an augmented reality app that allowed users to test a product without having to leave their homes. In 2013, they took a slight risk and introduced a veggie smoothie to their previously fruit-only smoothie menu. Behind the scenes. Behind the scenes.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

O'Reilly on Data

APRIL 25, 2019

This, of course, is in an effort to move forward the culture of open source, from static code branches sitting in source trees to living and evolving useful systems ready for live interaction, still egalitarian and open access in nature. In 2017, the revenue opportunities exceeded $1.9 Value opportunity: Digital money.

Cost-Benefit 140

Cost-Benefit Risk Marketing Finance 140

CIO Business Intelligence

MARCH 25, 2022

Two years of pandemic uncertainty and escalating business risk have sharpened the focus of corporate boards on a technology trend once dismissed as just another IT buzzword. I bring the tech and cyber expertise to those boards, and also the digital piece,” adds Martin, a member of the CIO Hall of Fame since 2017. “It

Digital Transformation 115

Digital Transformation Machine Learning Uncertainty Strategy 115

Smart Data Collective

JULY 1, 2021

Blockchain even transformed the traditional financial industry, as around 15% of banks started using it in 2017. Due to similar functionality to regular ATMs and ease of use, consumers find it easier interacting with a Bitcoin ATM for an investment market as unpredictable as BTC. The Cons of Using BTMs.

Cost-Benefit 131

Cost-Benefit Manufacturing Sales Technology 131

Smart Data Collective

FEBRUARY 14, 2023

It’s seemingly compulsory for most developers to build mobile versions of their applications or risk losing millions of potential users. Many people tend to forget their app updates, which can pose significant risks. But, using browser-based apps removes this risk altogether.

Risk 136

Risk Technology Optimization Machine Learning 136

CIO Business Intelligence

JANUARY 23, 2023

And, of course, they can check out ChatGPT, the interactive text generator that has been making waves since its release in November 2022. the OpenAI model on which ChatGPT is based, is an example of a transformer, a deep learning technique developed by Google in 2017 to tackle problems in natural language processing.

Enterprise 131

Enterprise Deep Learning Recreation/Entertainment Interactive 131

Smart Data Collective

AUGUST 27, 2019

This ensures customers are not at risk for security breaches or fraud. Did you know that nearly 2 million banking requests were handled by AI bots in 2017? Unless they are using AI to interact with customers daily. The bots are so human-like in the interaction, most people don’t even know they are talking to a chatbot.

Cost-Benefit 99

Cost-Benefit Interactive Finance Technology 99

CIO Business Intelligence

MAY 16, 2023

higher [in 2022] than in 2017.” Blockchain Challenges Privacy and Security: The nature of blockchains as a public ledger presents personal privacy and security risks that likely limit the technology’s adoption in sensitive industries such as healthcare.

Advertising 105

Advertising Recreation/Entertainment Experimentation Data Collection 105

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

TF Lattice offers semantic regularizers that can be applied to models of varying complexity, from simple Generalized Additive Models, to flexible fully interacting models called lattices, to deep models that mix in arbitrary TF and Keras layers. The drawback of GAMs is that they do not allow feature interactions.

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

BizAcuity

NOVEMBER 4, 2019

Today, online gaming accounts for a major chunk of the industry, which was estimated to have generated $116bn in 2017 alone. This new addition to the gaming industry has the power to cause huge disruptions in the way developers and gamers interact and access their games and the digital assets attached to their games.

Cost-Benefit 83

Cost-Benefit Data Processing Marketing Interactive 83

BizAcuity

APRIL 28, 2019

is delinquent as of June 30th, 2017. An improvement of 50% in debt collection was seen in just 3 months time, that too without any loss on customer interaction. Their issue at hand was to decrease the Portfolio at Risk. According to a Federal Bank report, more than $600 billion of household debt in the U.S.

Predictive Analytics 98

Predictive Analytics Analytics Big Data Data mining 98

IBM Big Data Hub

FEBRUARY 20, 2024

Climate modeling consists of using datasets and complex calculations to represent the interactions between major climate system components—namely, the atmosphere, land surface, oceans and sea ice. The model could potentially be used to identify conditions that raise the risks of wildfires and predict hurricanes and droughts.

Forecasting 113

Forecasting Modeling Reporting Risk 113

Domino Data Lab

JULY 2, 2019

For more background about program synthesis, check out “ Program Synthesis Explained ” by James Bornholt from 2015, as well as the more recent “ Program Synthesis in 2017-18 ” by Alex Polozov from 2018. A Program Synthesis Primer ” – Aws Albarghouthi (2017-04-24). A Program Synthesis Primer ” – Aws Albarghouthi (2017-04-24).

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

CIO Business Intelligence

SEPTEMBER 5, 2022

This brings its own risks to the table. We started with a serious migration from the first quarter of 2017 because a lot of our equipment was end of life, so it was an all-or-nothing approach. It took a bit longer than anticipated but by November 2017, we were almost fully across and functioning.

Data Processing 98

Data Processing Digital Transformation Finance Consulting 98

Jet Global

JULY 29, 2020

Note that extended support for Oracle Discoverer ended in 2017. There is a significant risk with unsupported products. Fear of the unknown has left many companies afraid to implement a new reporting tool, yet the risk of staying with Discoverer is becoming increasingly high. Real-Time Reporting Solutions for Oracle EBS.

Reporting 98

Reporting Cost-Benefit Consulting Finance 98

bridgei2i

JULY 28, 2020

She’s the founder and CEO of StatWeather, a company, which was recognized as number one in climate technology globally in the year, 2017, by the Energy Risk Awards. So, then we need systems, analysts, database administrators, people who can set in place, these types of backup systems for risk management. Not just that.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

Cloudera

MAY 15, 2018

My narrower vision of the next advancement in analytics is driven (or biased) by my quantitative risk management background and the critical role that computational simulation capabilities have played in many advances in the world of finance. Derman (2016), Cesa (2017) & Bouchard (2018)). Mauro Cesa. “A Additional resources.

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

BizAcuity

NOVEMBER 4, 2019

Today, online gaming accounts for a major chunk of the industry, which was estimated to have generated $116bn in 2017 alone. This new addition to the gaming industry has the power to cause huge disruptions in the way developers and gamers interact and access their games and the digital assets attached to their games.

Cost-Benefit 58

Cost-Benefit Data Processing Marketing Interactive 58

Cloudera

APRIL 7, 2021

A 2017 PWC survey of over 100 global insurance company CEOs revealed that the number one objective of these CEOs was to “get closer to their customers and to better understand their evolving needs.” Changing Business Models. Data — Too much and Too little. The Hunt for Talent. Yet they need to address the above issues to make this a reality.

Insurance 59

Insurance Digital Transformation Internet of Things IoT 59

Jen Stirrup

OCTOBER 3, 2019

The future is likely to be even more defined by the technology that is currently evolving – and if companies neglect to take a practical, thoughtful and responsible approach to implementing and developing this software, they run the risk of not being able to catch up with the consequences. . Miller, Wolf and Grodzinsky, 2017).

Technology 40

Technology Machine Learning Interactive Risk 40

CIO Business Intelligence

JUNE 28, 2023

“You have a lot of people that you’re interacting with and you have to learn from them and share the knowledge,” he says. So the longer somebody is left at the side of the road, the higher the risk is for that individual. But for Kin, fully knowledgeable people have to be in charge of every piece of technology that’s incorporated.

Machine Learning 52

Machine Learning Insurance Technology Interactive 52

BizAcuity

NOVEMBER 4, 2019

Today, online gaming accounts for a major chunk of the industry, which was estimated to have generated $116bn in 2017 alone. This new addition to the gaming industry has the power to cause huge disruptions in the way developers and gamers interact and access their games and the digital assets attached to their games.

Cost-Benefit 40

Cost-Benefit Data Processing Marketing Interactive 40

Jet Global

MAY 27, 2021

However, fear of the unknown has left many companies afraid to implement a new reporting tool, yet the risk of staying with Discoverer increases day by day: Discoverer extended support ended June 2017. The longer you delay your move away from Discoverer, the greater the risk you’ll be left high and dry.

Reporting 52

Reporting Cost-Benefit Dashboards Finance 52

CIO Business Intelligence

MARCH 22, 2022

At Fractal, Tiwari will be responsible for the company’s digital transformation and overseeing IT operations, cybersecurity, and risk management. . In his 20 years’ experience in IT, Verma has led work on security, risk compliance, IoT, RPA, cloud, and business continuity planning. He will be based in Gurugram.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

Data Insight

APRIL 15, 2019

We reward and punish based on our last interaction with an organisation and are not afraid to take to social channels to articulate our experiences – whether it be good or bad – to also influence our peer’s choices. As a result, as consumers, we now expect a more personalised, engaging experience from every brand we deal with, every time.

Data-driven 40

Data-driven Metrics Measurement Strategy 40

Domino Data Lab

AUGUST 8, 2019

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. Public Health Reports (2017-07-10). To wit: data science is a team sport.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for See also the paper “ The Case for Open Metadata ” by Mandy Chessell (2017–04–21) at IBM UK for compelling perspectives about open metadata. That definition plus the one-liner provide good starting points.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

The Unofficial Google Data Science Blog

APRIL 23, 2024

However, if we experiment with both parameters at the same time we will learn something about interactions between these system parameters. Risk and Robustness Our estimates $widehat{beta}$ of the "true'' coefficients $beta$ of our model (1) depend on the random data we observe in experiments, and they are therefore random or uncertain.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Alation

AUGUST 26, 2021

Privacy, Risk and Compliance. HBR Review May/June 2017. Finally, data catalogs leverage behavioral metadata to glean insights into how humans interact with data. Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance.

Metadata 64

Metadata Data Governance Dashboards Software 64

Domino Data Lab

JANUARY 6, 2019

What are the projected risks for companies that fall behind for internal training in data science? Wes McKinney (2017). Aurélien Géron (2017). How do options such as mentoring programs fit into this picture, both for organizations and for the individuals involved? In business terms, why does this matter ?

Data Science 56

Data Science Machine Learning Visualization Reporting 56

Peter James Thomas

AUGUST 12, 2018

A clear parallel would be credit risk in Retail Banking, but something as simple as an estimate of potentially delinquent debtors is an inherently statistical figure (albeit one that may not depend on the output of a statistical model). Ideas for avoiding Big Data failures and for dealing with them if they happen (2017).

Metrics 49

Metrics Statistics Data Quality Measurement 49

O'Reilly on Data

APRIL 23, 2024

They published the original Transformer paper (not quite coincidentally called “Attention is All You Need”) in 2017, and released BERT , an open source implementation, in late 2018, but they never went so far as to build and release anything like OpenAI’s GPT line of services. I think not.

Advertising 334

Advertising Cost-Benefit Marketing Risk 334

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

AUGUST 1, 2021

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. This dataset classifies customers based on a set of attributes into two credit risk groups – good or bad. References.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? The ability to measure results (risk-reducing evidence).

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66