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 86

Advertising Recreation/Entertainment Experimentation Enterprise 86

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 116

Risk Technology Optimization Machine Learning 116

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

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 100

Cost-Benefit Manufacturing Sales Technology 100

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

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

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 79

Cost-Benefit Interactive Finance Technology 79

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

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 85

Data Processing Digital Transformation Finance Consulting 85

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

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 57

Insurance Digital Transformation Internet of Things IoT 57

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

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

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

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

IBM Big Data Hub

JULY 19, 2023

Other use cases where generative AI models can help life sciences organizations unleash competitive advantage are: Summarization : call center interactions, documents such as financial reports, analyst articles, emails, news, media trends and more. Supply Chain: Demand forecasting, supply chain optimization, risk assessment and mitigation.

Consulting 62

Consulting Machine Learning Manufacturing Optimization 62

O'Reilly on Data

FEBRUARY 18, 2020

Up until 2017, the ML+AI topic had been amongst the fastest growing topics on the platform. There’s plenty of security risks for business executives, sysadmins, DBAs, developers, etc., After several years of steady climbing—and after outstripping Java in 2017—Python-related interactions now comprise almost 10% of all usage.

Data-driven 335

Data-driven Software Statistics Marketing 335

Cloudera

MAY 18, 2021

These interactions are captured and the resulting synthetic data sets can be analysed for a number of applications, such as training models to detect emergent fraudulent behavior, or exploring “what-if” scenarios for risk management. Value-at-Risk (VaR) is a widely used metric in risk management. Intraday VaR.

Risk 92

Risk Marketing Risk Management Data-driven 92

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

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

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 143

Analytics Machine Learning Insurance Testing 143

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.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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 Reporting Visualization 56

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 108

Machine Learning Deep Learning Modeling Interactive 108

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 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

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

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

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 Machine Learning Data Science Data-driven 105

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 Data-driven Machine Learning 66

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

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

Insight

DECEMBER 30, 2019

In Figure 1, you can see the results of the Harris corner detector applied to an image of Jessie Graff competing in the 2017 American Ninja Warrior Finals: Figure 1?—?Harris Harris corner detection applied to an image of Jessie Graff competing in the 2017 American Ninja Warrior Finals. Original image is on the left.

Visualization 72

Visualization Modeling Machine Learning IT 72

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

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

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Predictive analytics indicates what might happen in the future with an acceptable level of reliability, including a few alternative scenarios and risk assessment. Data exploded and became big.

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.

Enterprise 142

Enterprise Technology Consulting Software 142