Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., Newer methods can work with large amounts of data and are able to unearth latent interactions. One approach is to use NLP techniques to analyze actual call center interactions with customers. In addition, the traditional challenges remain.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

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

Data Science 101

APRIL 26, 2019

Gopher Data – Gophers doing data analysis, no schedule events, last blog post was 2017 Gopher Notes – Golang in Jupyter Notebooks Lgo – Interactive programming with Jupyter for Golang Gota – Data frames for Go, “The API is still in flux so use at your own risk.” Golang Data Science Books.

Data Science 111

Data Science Machine Learning Interactive Risk 111

Smart Data Collective

SEPTEMBER 22, 2021

The risk of data breaches will not decrease in 2021. Data breaches and security risks happen all the time. One bad breach and you are potentially risking your business in the hands of hackers. rose from 38 million in 2016 to over 50 million in 2018. Avoid interacting with suspicious links. Parting advice.

Statistics 107

Statistics Risk Measurement Software 107

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)). Connier & M. Mauro Cesa. “A

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

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. .

Technology 40

Technology Machine Learning Interactive Risk 40

CIO Business Intelligence

APRIL 6, 2022

Many people are surprised that spending number is so large, says Jeffrey Bigham, associate professor of human-computer interaction at Carnegie Mellon University, who works to advance accessibility in technology. in 2020, up more than 50% from 2018. . Consumers with disabilities spend nearly $500 billion every year in the U.S.

Visualization 129

Visualization Interactive Software Technology 129

CIO Business Intelligence

OCTOBER 17, 2023

For example, Microsoft’s Power Platform enables the creation of mobile and web apps that can interact with business tools. In other words, these simple, one-off applications created by citizen developers can create security risks, they aren’t built to scale, and they don’t necessarily interoperate with complex business processes.

Marketing 141

Marketing IT Cost-Benefit Enterprise 141

Smart Data Collective

JANUARY 22, 2020

The movement towards cloud technologies is perceived as an undoubtedly positive trend that facilitates all aspects of human interaction with information systems. Risks Associated with Cloud Computing. In November 2018, Marriott International announced that cyber thieves stole data on 500 million customers. Security Threats.

Data Processing 57

Data Processing Measurement Risk Data Warehouse 57

Cloudera

FEBRUARY 14, 2018

And we all want the same things Cloudera’s customers want from their data and analytics journeys to: Look at all our customer interactions, understand our customer journey holistically and from each functional view: Determine which customers are most successful. their customer insights, connected products, risk mitigation).

Data-driven 43

Data-driven Data Quality Risk Interactive 43

O'Reilly on Data

FEBRUARY 18, 2020

Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%. But sustained interest in cloud migrations—usage was up almost 10% in 2019, on top of 30% in 2018—gets at another important emerging trend. ML + AI are up, but passions have cooled. Security is surging.

Data-driven 342

Data-driven Software Statistics Marketing 342

Data Insight

APRIL 15, 2019

They show their customers they know them and reward them for their business at every interaction. Here are five reasons why data should be fundamental to everything your business does in 2018. Data is a risk – even if you are not looking to use it as an asset. They add value and, in essence, make their customers’ lives easier.

Data-driven 45

Data-driven Risk Interactive Metrics 45

IBM Big Data Hub

JUNE 23, 2023

To accelerate speed-to-market, grow the business with new innovative products and services, gain new and deeper risk insights, and improve customer experience, most companies are also emphasizing digital transformation. Core modernization (processes and technology) is a top priority for every insurer.

Insurance 56

Insurance Cost-Benefit Digital Transformation Marketing 56

Smart Data Collective

DECEMBER 18, 2020

The platform is primarily designed to help businesses and site owners to understand how visitors are interacting with their pages. According to Infosec statistics , cyber-attacks resulting in over $1 million in reported losses has risen exponentially over the past five years – with over 100 cases reported in both of 2018 and 2019.

Analytics 83

Analytics Broadcasting Measurement Data Processing 83

CIO Business Intelligence

SEPTEMBER 5, 2022

This brings its own risks to the table. But in early 2018, the first major hiccup hit us as the independent party who did the audit missed the terms of use on some of our licensing. One of the aspects that’s lacking in many CIOs is the interaction with the business. I would also never recommend any full lift-and-shift approach.

Data Processing 81

Data Processing Digital Transformation Finance Consulting 81

Domino Data Lab

APRIL 3, 2019

So this month let’s explore these themes: 2018 represented a flashpoint for DG fails, prompting headlines worldwide and resulting in much-renewed interest in the field. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for More Policies Emerged” (2010-2018).

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

CIO Business Intelligence

FEBRUARY 22, 2023

Whatever may be the driver for going international, relocating to a different country is a big decision that needs to factor in risk as well as reward. Staying on the right side of risk and compliance are critical for any technology decision maker, but for foreign IT leaders the need for help may be more pronounced.

IT 98

IT Technology Strategy Consulting 98

O'Reilly on Data

NOVEMBER 28, 2023

Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. We’re not encouraging skepticism or fear, but companies should start AI products with a clear understanding of the risks, especially those risks that are specific to AI.

Enterprise 281

Enterprise Modeling Testing Reporting 281

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

JANUARY 6, 2019

What are the projected risks for companies that fall behind for internal training in data science? Laura Noren, who runs the Data Science Community Newsletter , presented her NYU postdoc research at JuptyerCon 2018, comparing infrastructure models for data science in research and education. In business terms, why does this matter ?

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Cloudera

SEPTEMBER 12, 2018

And now, without further delay, we are excited to announce the winners of the 2018 Data Impact Awards, listed by award theme and category: Business Impact. The bank coordinates all interactions via its branch network and Australian-based contact centers and presents it back through digital channels, ATMs, email and direct mail.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

CIO Business Intelligence

APRIL 15, 2022

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 algorithm learned to identify children, not high-risk patients. The study’s researchers suggested that a few factors may have contributed.

Analytics 142

Analytics Machine Learning Insurance Testing 142

datapine

OCTOBER 21, 2020

If you put on too many workers, you run the risk of having unnecessary labor costs add up. All this vital information can be coupled with other trackable data to identify potential health risks lurking. Chronic insomnia and an elevated heart rate can signal a risk for future heart disease for instance. on a permanent basis.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

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. March 2021.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

Jet Global

NOVEMBER 29, 2023

As consumers continue to connect more and more facets of their lives via digital — banking, shopping, making appointments, interacting, etc. — According to the 2018 DMA Response Rate Report, direct mail achieves a 9% response from house lists and 5% from prospect lists versus 1% or lower for email and social media.

Marketing 52

Marketing Cost-Benefit Interactive Testing 52

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. It’s also a driver for data science.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

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

AWS Big Data

MARCH 29, 2024

We also lacked a data buffer, risking potential data loss during outages. Such constraints impeded innovation and increased risks. This architecture accelerated feature development by minimizing the risk of new features impacting existing ones.

Cost-Benefit 90

Cost-Benefit Data-driven Metrics Management 90

Domino Data Lab

JULY 2, 2019

AutoPandas was created at UC Berkeley RISElab and the general idea is described in the NeurIPS 2018 paper “ Neural Inference of API Functions from Input–Output Examples ” by Rohan Bavishi, Caroline Lemieux, Neel Kant, Roy Fox, Koushik Sen, and Ion Stoica. Program Synthesis Papers at ICLR 2018 ” – Illia Polosukhin (2018-05-01).

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Domino Data Lab

AUGUST 8, 2019

2018 – Global reckoning about data governance, aka “Oops!…We The probabilistic nature changes the risks and process required. These are outcomes that executives care about, post 2018—ever since what WSJ called a “global reckoning” about data governance. Some people are in fact trained to work with these kinds of risks.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Ontotext

DECEMBER 30, 2022

In 2019 the market for graph databases and knowledge graphs started heating up – appearing on Gartner’s hype curves in 2018. With our customers top of mind, especially those new to knowledge graphs, we provided interactive user guides to speed understanding and implementation.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

DECEMBER 30, 2022

In 2019 the market for graph databases and knowledge graphs started heating up – appearing on Gartner’s hype curves in 2018. With our customers top of mind, especially those new to knowledge graphs, we provided interactive user guides to speed understanding and implementation.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Jet Global

MAY 18, 2020

But without establishing a centralised rapid reporting rhythm, fed by real-time data and supported by automated reporting processes, finance runs the risk of things dropping off into silos. fewer days in the reporting cycle, according to the Hackett Group Business Performance Report 2018. What You See is What You Get.

Finance 64

Finance Reporting Uncertainty Testing 64

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. FireFox: September 2018. 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

MAY 8, 2019

2018-06-21). 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. Given how so much of IT gets driven by concerns about risks and costs, in practice auditability tops the list for many business stakeholders.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Cloudera

NOVEMBER 14, 2018

Explore our interactive federated learning prototype, Turbofan Tycoon. Register for our webinar (Thursday November 15 2018). Users are reluctant to share this sensitive data, and possessing it exposes technology companies to security risks and regulatory burdens. These characteristics make it a great fit for federated learning.

Manufacturing 41

Manufacturing Machine Learning IoT Modeling 41