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

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

Smart Data Collective

MAY 17, 2021

Caspar referenced the Cambridge Analytica fiasco and the data leak that affected over 500 million Facebook users to highlight the risks of mass profiling and how it can be used to influence political decisions. Most people don’t realize just how much data is being collected whenever we interact with a digital platform.

Cost-Benefit 94

Cost-Benefit Advertising Data Collection Data-driven 94

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

bridgei2i

MAY 26, 2020

It is even more essential now that supply chains are empowered with a high standard of data and analytics sophistication to be able to cost-effectively serve the company’s purpose and combat risks at the same time. You know, Chief Risk Officers, for example, will no longer be confined to the credit industry. Anushruti: Perfect.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Occam's Razor

MARCH 30, 2017

While the phrase Artificial Intelligence has been around since the first human wondered if she could go further if she had access to entities with inorganic intelligence, it truly jumped the shark in 2016. trillion pictures in 2016. One key thing that stymied my efforts, and likely your ML efforts, in 2016 was Identity.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

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

Rita Sallam

JULY 22, 2016

Gartner revamped the BI and Analytics Magic Quadrant in 2016 to reflect the mainstreaming of this market disruption. The risk of switching existing system of record reporting that is working may be higher than the benefit, so the 45% of you maintaining these systems makes sense, but increasing users and content?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

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 145

Analytics Machine Learning Insurance Testing 145

CIO Business Intelligence

JUNE 22, 2022

Despite this, only a handful of organisations interact with all stages of the data life cycle process to truly distill information that distinguishes future-ready businesses from the rest. Around 2016, we started talking about data in motion within the context of an enterprise data platform.

IoT 96

IoT IT Manufacturing Internet of Things 96

Cloudera

APRIL 27, 2022

Despite this, only a handful of organisations interact with all stages of the data life cycle process to truly distill information that distinguishes future-ready businesses from the rest. Around 2016, we started talking about data in motion within the context of an enterprise data platform.

IoT 98

IoT IT Manufacturing Internet of Things 98

CIO Business Intelligence

APRIL 7, 2022

More recently, they’ve been exploring the use of interactive chatbots to check the pulse of employee sentiment at work. 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.

Consulting 145

Consulting Management Interactive Metadata 145

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

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

CIO Business Intelligence

JULY 20, 2023

Like with any powerful new technology (think: the internet, the printing press, nuclear power), there are great risks to consider. A few things: Tackle bias not just in your data, but also be aware it can result from how the data is interpreted, used, or interacted with by users Lean into open source tools and data science.

Risk 40

Risk Machine Learning Deep Learning Interactive 40

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

Cloudera

OCTOBER 26, 2020

The validation of both solutions functioning as intended will benefit our joint customers with better support, reduced risk, and lower total cost of ownership (TCO). . ACID transactions, ANSI 2016 SQL SupportMajor Performance improvements. Better fit for Data Mart migration use cases (interactive, BI style queries).

Testing 87

Testing Cost-Benefit Unstructured Data Big Data 87

Domino Data Lab

JANUARY 6, 2019

What are the projected risks for companies that fall behind for internal training in data science? Jake Vanderplas (2016). 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 ? Machine Learning with Python Cookbook.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

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. Furthermore, a 20 18 McKinsey survey said that the number of functions reporting to CFOs has risen from four to six since 2016.

Finance 64

Finance Reporting Uncertainty Testing 64

Smart Data Collective

DECEMBER 19, 2019

In 2016, A Facebook bot tricked more than 10,000 Facebook users. The AI-enabled antiviruses utilize ML techniques to understand and learn how legitimate programs interact with an OS. The main objective here is to understand and learn how the user interacts with the system. Thus, thousands of Facebook accounts were hacked.

Machine Learning 61

Machine Learning Reporting Testing Marketing 61

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.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

The Data Visualisation Catalogue

FEBRUARY 16, 2023

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. AI tools such as ChatGPT have demonstrated the potential to pose a threat to knowledge workers, yet the threat is not quite here yet.

Dashboards 122

Dashboards Consulting Machine Learning Technology 122

Insight

MARCH 18, 2019

In 2016, ProPublica published an article stating that the software used across the country to predict future criminals is biased towards certain people of color. Data Used: Recidivism Risk I used a dataset compiled and released by ProPublica that labels how likely a criminal is to re-offend in the future based on his score.

Machine Learning 77

Machine Learning Predictive Modeling Modeling Metrics 77

Alation

FEBRUARY 20, 2020

Considering what we’ve seen this year in industry trends and patterns, we have compiled some predictions for 2016 from our co-founders at Alation. 2016 will be the year of the “logical data warehouse.” In 2016, these will increasingly be deployed to query multiple data sources. Data sprawl has been prevalent for several years.

Data Warehouse 52

Data Warehouse Visualization Enterprise Data Science 52

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. 2016) for an example of this technique (LIME). Toy example to present intuition for LIME from Ribeiro (2016).

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

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. Citrix closes $2.25

Enterprise 143

Enterprise Technology 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 275

Uncertainty Testing Risk Reporting 275

O'Reilly on Data

MAY 11, 2020

Many of the models you interact with are mediated through screens, and there’s no shortage of news about how many of us spend our lives glued to them. David Foster Wallace had the general structure of the user–product interaction correct. Let’s start by looking at how models impact us. SCREENS, FEEDBACK, AND “THE ENTERTAINMENT”.

Modeling 190

Modeling Advertising Recreation/Entertainment Metrics 190