Smart Data Collective

AUGUST 9, 2022

The risk of data breaches is rising sharply. The number increased 56% between 2017 and 2018. Cybersecurity experts are using data analytics and AI to identify warning signs that a firewall has been penetrated, conduct risk scoring analyses and perform automated cybersecurity measures.

Big Data 110

Big Data Technology Testing Cost-Benefit 110

Smart Data Collective

OCTOBER 8, 2021

Modern machine learning and back-testing; how quant hedge funds use it. This is according to Barclay Hedge founder and President Sol Waksman in his July 2018 statement. Similarly, hedge funds often use modern machine learning and back-testing to analyze their quant models. Mathematical Model-based Strategies.

Machine Learning 113

Machine Learning Testing Strategy Modeling 113

CIO Business Intelligence

APRIL 15, 2022

MIT Technology Review has chronicled a number of failures, most of which stem from errors in the way the tools were trained or tested. For example, Driggs’ group found that their own model was flawed because it was trained on a data set that included scans of patients that were lying down while scanned and patients that were standing up.

Analytics 144

Analytics Machine Learning Insurance Testing 144

CIO Business Intelligence

AUGUST 1, 2023

During keynotes and discussions with CIOs, I remind everyone how strategic priorities evolve significantly every two years or less, from growth in 2018, to pandemic and remote work in 2020, to hybrid work and financial constraints in 2022. Customizing and developing LLMs requires a strong business case, technical expertise, and funding.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

datapine

OCTOBER 21, 2020

Now that we live longer, treatment models have changed and many of these changes are namely driven by data. If you put on too many workers, you run the risk of having unnecessary labor costs add up. Every patient has his own digital record which includes demographics, medical history, allergies, laboratory test results, etc.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

O'Reilly on Data

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production.

Machine Learning 234

Machine Learning Technology Deep Learning Data Science 234

CIO Business Intelligence

NOVEMBER 1, 2023

And alongside these major changes, Volvo is also resetting its business model and switching to direct sales in that part of the network of global dealers broadens their roles where instead of just selling Volvo cars, they become distributors. But even with great advantages came disadvantages.

Software 125

Software Testing Digital Transformation Management 125

CIO Business Intelligence

FEBRUARY 14, 2023

Meanwhile, through 2017 and 2018, he says, “there was a big surge in companies moving from usually on-premises data centers to AWS or Azure, and then finding a partner to run their SAP in the cloud. We had to do a lot of functional testing to make sure.” It was costing us a lot of money.” Virtustream couldn’t compete.”

Data Processing 98

Data Processing Cost-Benefit Testing Modeling 98

Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. Build multiple MVPs to test conceptually and learn from early user feedback.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

AWS Big Data

DECEMBER 8, 2023

Users could now assess risk, profitability, and cross-sell opportunities not only for piecemeal divisions or products, but also globally for the business as a whole. FanDuel wanted their engineers to have access to production datasets to test their new models and match the results from their legacy SQL-based code sets.

Data Warehouse 69

Data Warehouse Cost-Benefit KPI Risk 69

IBM Big Data Hub

FEBRUARY 9, 2024

2023 saw an explosion of increasingly efficient foundation models with open licenses, beginning with the launch of Meta’s LlaMa family of large language models (LLMs) and followed by the likes of StableLM, Falcon, Mistral, and Llama 2. DeepFloyd and Stable Diffusion have achieved relative parity with leading proprietary models.

Cost-Benefit 97

Cost-Benefit Modeling Data-driven Enterprise 97

Domino Data Lab

MAY 15, 2019

Unfortunately, a common challenge that many industry people face includes battling “ the model myth ,” or the perception that because their work includes code and data, their work “should” be treated like software engineering. I was fortunate to see an early iteration of Pete Skomoroch ’s ML product management presentation in November 2018.

Machine Learning 111

Machine Learning Management Experimentation Uncertainty 111

Cloudera

DECEMBER 11, 2020

That compares to only 36 percent of customer interactions as of December 2019, which was before the pandemic impacted business, and only 20 percent in May 2018. Insurance and finance are two industries that rely on measuring risk with historical data models. Data Variety.

Insurance 94

Insurance Digital Transformation Unstructured Data Machine Learning 94

CDW Research Hub

JUNE 10, 2021

Sirius Security helps them reduce risk, streamline and improve operations, and take a forward-leaning approach with proactive prevention, detection and response that keeps pace with threats. Security technologies, opportunities and risk create an ever-changing cybersecurity landscape. Program, Process & Risk Plan Development.

Enterprise 52

Enterprise Consulting Risk Business Objectives 52

Smart Data Collective

JUNE 24, 2023

Fortunately, new advances in machine learning technology can help mitigate many of these risks. Machine learning technology can do wonders to help reduce the risk of cryptocurrency thefts Over the past few years, we have seen a growing number of hackers weaponize artificial intelligence.

Machine Learning 77

Machine Learning Broadcasting Risk Data mining 77

Jen Stirrup

FEBRUARY 1, 2023

The effects of AI will be magnified in the coming decade as manufacturing, retailing, transportation, finance, health care, law, advertising, insurance, entertainment, education, and virtually every other industry transform their core processes and business models to take advantage of machine learning.

Recreation/Entertainment 63

Recreation/Entertainment Testing Advertising Insurance 63

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. That is true generally, not just in these experiments — spreading measurements out is generally better, if the straight-line model is a priori correct.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Smart Data Collective

NOVEMBER 11, 2020

In 2018, over 500 million personal records were exposed with data leaks. No risks – there should be a money return guarantee that lasts for at least thirty days. While many order iPhone versions tend to lack software support overtime, these services are equally suitable for all models. This number soared in the following year.

Data Processing 132

Data Processing Technology Testing IT 132

CIO Business Intelligence

MAY 11, 2022

Loura joined Lumentum in October of 2018, bringing with him three decades of IT leadership experience. I could talk about oh, “This is critical for our ability to enter a new market” or “This is a regulatory requirement, and therefore it is a risk we need to achieve” and so on. billion and 5,000 employees around the world.

Sales 78

Sales Cost-Benefit Manufacturing Optimization 78

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Derman (2016), Cesa (2017) & Bouchard (2018)).

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

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

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. Using ML models to search more effectively brought the search space down to 102—which can run on modest hardware. Program Synthesis Papers at ICLR 2018 ” – Illia Polosukhin (2018-05-01). Introduction.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. 2018-06-21). Introduction.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model. With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Cloudera

MAY 22, 2018

With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. This leads to wasted time and effort during research and collaboration or, worse, compliance risk. Experiments.

Data Science 41

Data Science Snapshot Machine Learning Metadata 41

Cloudera

AUGUST 2, 2018

Leading insurers are underwriting policies with lower risks. Data teams in these insurance firms are leading the charge in rebuilding entire business models around data and analytics. When good stuff happens in the background, and we take it for granted, we know the technology behind the scenes is working.

Data Warehouse 51

Data Warehouse Insurance Experimentation Software 51

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. Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

AUGUST 8, 2019

Meanwhile, many organizations also struggle with “late in the pipeline issues” on model deployment in production and related compliance. then building machine learning models to recommend methods and potential collaborators to scientists. 2018 – Global reckoning about data governance, aka “Oops!…We We did it again.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

MARCH 3, 2019

O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). What’s been the impact of using ML models on culture and organization? Who builds their models? Evolving Data Infrastructure: Tools and Best Practices for Advanced Analytics and AI (Jan 2019).

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

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. In some countries, an expat IT leader’s communication skills can be put to the test, as top management may seek advice not from people of position but from those they trust. “In

IT 98

IT Technology Strategy Consulting 98

Cloudera

NOVEMBER 14, 2018

Register for our webinar (Thursday November 15 2018). To train a machine learning model you usually need to move all the data to a single machine or, failing that, to a cluster of machines in a data center. The nodes each train a local model, and it is that model which they share with the server. Smartphones.

Manufacturing 41

Manufacturing Machine Learning IoT Modeling 41

Insight

DECEMBER 18, 2019

Lauren Holzbauer was an Insight Fellow in Summer 2018. Neural networks were inspired by nature In their 1943 paper , McCulloch and Pitts proposed a theoretical model that described the nervous system as a “net of neurons.” However, don’t train for too many epochs or you could be at risk of overfitting. Let’s get started!

Optimization 85

Optimization Machine Learning Testing Visualization 85

Occam's Razor

JUNE 4, 2018

It is 2018—why are there still light gray below-the-fold add to cart buttons? Not easy, but your business model has to change to survive.). Not wanting to risk it, I click on the Find in Store link you see at the bottom of the page. Such is the case with A/B testing. youarekillingme. I still do it less than I should.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

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. . — Mike Barlow, author of “Learning to Love Data Science” (O’Reilly Media). Two weeks ago, we announced the finalists. Technical Impact. Cloud Success: .

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

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

Depict Data Studio

SEPTEMBER 17, 2019

You’ll also learn about 508 compliance, like how to test your visuals for sufficient foreground/background contrast, colorblindness legibility, and grayscale legibility using accessibility checkers. . Her book, Designing Quality Survey Questions was published by SAGE Publications in 2018. Elissa Schloesser.

Visualization 40

Visualization Consulting Dashboards Reporting 40