Smart Data Collective

APRIL 13, 2021

After a marginal increase in 2015, another steep rise happened in 2016 through 2017 before the volume decreased in 2018 and rose in 2019, and dropped again in 2020. They can use AI and data-driven cybersecurity technology to address these risks. One of the best solutions for data protection is advanced automated penetration testing.

Testing 131

Testing Behavioral Analytics Data-driven Big Data 131

Smart Data Collective

JULY 23, 2021

You can find numerous examples of this, such as the hacking attempts that it conducted against the United States during the 2016 Presidential Election. The consequent cybercrime caused (like the fraudsters mentioned above) is straining almost every imaginable industry and testing the limits of cybersecurity at every front.

Measurement 140

Measurement Risk Data-driven Digital Transformation 140

CIO Business Intelligence

JUNE 18, 2024

For example, Runmic uses AI to generate reports, draft emails, and assist with code development and testing, Kouhlani says, adding that some of these tasks had previously taken employees hours to complete. Now they merely review AI content and can get back to more strategic tasks,” he says. Some failure should be expected.

Enterprise 134

Enterprise Forecasting Unstructured Data Reporting 134

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. The internet has always been vulnerable to threats and risks.

Statistics 133

Statistics Risk Measurement Software 133

Smart Data Collective

FEBRUARY 23, 2023

The learning potential of deep learning was further demonstrated by AlphaGo in 2016 and, today, it is used increasingly to create high level software engineering (SE) tools. Another drawback of deep learning to write code is that, if the code has not been originated by a software developer, they could be at risk of committing plagiarism.

Deep Learning 111

Deep Learning Software Risk Testing 111

CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

Cloudera

OCTOBER 26, 2020

We are excited to announce PowerScale and ECS will be moving forward with Cloudera’s Quality Assurance Test Suite certification process on CDP – Private Cloud (PvC) Base edition. Complete integration testing. ACID transactions, ANSI 2016 SQL SupportMajor Performance improvements. Validation includes: Overall architecture.

Testing 87

Testing Unstructured Data Cost-Benefit Big Data 87

CIO Business Intelligence

FEBRUARY 29, 2024

You’d be forgiven if you’re wondering whether you’ve stumbled on an article from 2016 , but, in fact, the practice of launching an offshore IT center wholly owned and operated by the enterprise it serves is back in vogue with notable twists. Captive centers are on the rise. Not all BOTs transfer in the end, notes Martorelli.

Cost-Benefit 116

Cost-Benefit Risk Modeling Enterprise 116

CIO Business Intelligence

APRIL 7, 2022

KPMG, for example, built its first interactive chatbot in 2016. KPMG calculates a score for an employee’s risk of attrition, tries to identify a reason for that, and then suggests a remediation. More recently, they’ve been exploring the use of interactive chatbots to check the pulse of employee sentiment at work.

Consulting 145

Consulting Interactive Management Metadata 145

CIO Business Intelligence

JANUARY 23, 2023

The company has been a supporter of OpenAI’s quest to build an artificial general intelligence since its early days, beginning with its hosting of OpenAI experiments on specialized Azure servers in 2016. That app, Microsoft Designer , is currently in closed beta test.

Enterprise 131

Enterprise Deep Learning Recreation/Entertainment Interactive 131

CIO Business Intelligence

APRIL 11, 2024

Oracle’s cloud pitch Kevin Thompson, CEO at Tricentis, a provider of testing and engineering products, sees Oracle as a solid contender in the enterprise cloud space, thanks to its key differentiation from more established rivals. The inherent risk is trust. Oracle requires all Fusion customers to upgrade every quarter,” he says.

Enterprise 124

Enterprise IT Data Processing Strategy 124

Smart Data Collective

APRIL 12, 2019

For those not in the know, Brexit started as the 2016 vote for the United Kingdom to leave the European Union for a whole host of reasons. Working fast means finding hidden risks before they become a major problem. Making a plan for a plan is a convoluted way of saying you should try to test the waters first. Factors of Change.

Business Intelligence 99

Business Intelligence Key Performance Indicator Advertising Data Processing 99

CIO Business Intelligence

AUGUST 11, 2023

With more than 6 million citizens, Los Angeles county is among the largest in the US, and Bhullar has served as county clerk CIO since 2016. The cybersecurity program also includes identity and access management; third-party penetration testing; governance, risk, and compliance assessments; and endpoint monitoring.

IT 98

IT Reporting Testing Software 98

Smart Data Collective

DECEMBER 19, 2019

As per the report by AV-TEST Institute, over 856 million malware variants were created last year. In 2016, A Facebook bot tricked more than 10,000 Facebook users. Hackers are constantly testing and enhancing their malware to become AI-proof which is dangerous. So, you can see that data is everywhere.

Machine Learning 90

Machine Learning Reporting Testing Marketing 90

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)). Blog Post, Nov-2016. Mauro Cesa. “A

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

Jet Global

MAY 18, 2020

In the last few months, this level of thinking has been tested more than ever before. 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. A New Look.

Finance 64

Finance Reporting Uncertainty Testing 64

IBM Big Data Hub

APRIL 12, 2022

Mitigating risk. When I joined IBM in 2016, our business strategy centered on hybrid cloud and AI. Acting as our own power user, we can test our solutions at scale to consistently provide a roadmap of insights back into our own products and partnerships. Expanding the bottom line by making operations more efficient.

Data Strategy 75

Data Strategy Strategy Enterprise Data-driven 75

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

For example, consider the following simple example fitting a two-dimensional function to predict if someone will pass the bar exam based just on their GPA (grades) and LSAT (a standardized test) using the public dataset (Wightman, 1998). Curiosities and anomalies in your training and testing data become genuine and sustained loss patterns.

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

IBM Big Data Hub

JUNE 21, 2022

When I rejoined IBM in 2016, enterprise-level data and its use was having a pivotal moment. Today’s data leaders are primarily focused on three strategic drivers: mitigating risk, growing the top line and enhancing the bottom line. How IBM built its own data fabric . The future of data leadership .

Data Strategy 52

Data Strategy Strategy Data-driven Enterprise 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 was a recipient of a 2016 CIO100 India award.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

Domino Data Lab

AUGUST 8, 2019

Having participated in several Foo Camps—and even co-chaired the Ed Foo series in 2016-17— most definitely, a Foo will turn your head around. The probabilistic nature changes the risks and process required. We face problems—crises—regarding risks involved with data and machine learning in production. No big deal.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

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

The Unofficial Google Data Science Blog

APRIL 23, 2024

Multiparameter experiments, however, generate richer data than standard A/B tests, and automated t-tests alone are insufficient to analyze them well. Utility or risk for us is close to a step function: it is important to find some improvement, and less important to make that improvement as big as possible right away. Chu, and S.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

AUGUST 1, 2021

2016) for an example of this technique (LIME). This dataset classifies customers based on a set of attributes into two credit risk groups – good or bad. After forming the X and y variables, we split the data into training and test sets. Toy example to present intuition for LIME from Ribeiro (2016).

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

CIO Business Intelligence

MARCH 10, 2022

Compare that to a company that relied on BizTalk 2016 as its application integration platform. Well before BizTalk 2016’s retirement, Microsoft announced that its successor, BizTalk 2020, would be released mid-2019, and BizTalk 2016’s end-of-life date (well, month) would be November 2022.

Management 122

Management Testing Technology Risk 122

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 30

Statistics Uncertainty Risk Marketing 30

The Data Visualisation Catalogue

FEBRUARY 16, 2023

This was done through testing this AI tool on a number of tasks and on its information retrieval ability. However, the fear is that if AI tools continue to develop in the direction it’s currently going in, a lot of white-collar workers will be at risk of losing their job.

Dashboards 129

Dashboards Machine Learning Consulting Visualization 129

datapine

DECEMBER 28, 2021

To make sure the reliability is high, there are various techniques to perform – the first of them being the control tests, which should have similar results when reproducing an experiment in similar conditions. Drinking tea increases diabetes by 50%, and baldness raises the cardiovascular disease risk up to 70%! They sure can.

Statistics 363

Statistics Advertising Visualization Data mining 363

datapine

AUGUST 29, 2022

The book has three main ideas: The biggest risk your company faces is investing a lot of time and resources into building something that the market doesn’t want. It was lately revised and updated in January 2016. Product/market fit is THE most important factor to get right. is one of the greatest on the market.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

MAY 17, 2022

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.

Risk 145

Risk Data Science Machine Learning Consulting 145

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. Tableau buys Narrative Science.

Technology 143

Technology Enterprise Consulting Software 143

O'Reilly on Data

JUNE 16, 2020

The quality of the decision is based on known information and an informed risk assessment, while chance involves hidden information and the stochasticity of the world. Consider risk not only in terms of likelihood but also in terms of the impact of your decisions. We saw this after the 2016 U.S.

Uncertainty 350

Uncertainty Testing Risk Reporting 350