Rocket-Powered Data Science

OCTOBER 16, 2020

The survey also had forward-looking questions, as well as historical comparisons and trends from results of similar “state of AI in the enterprise” surveys in 2018 and 2019. 2) The percentage who are concerned about other countries being more advanced than the U.S. in AI technology and implementation increased from 70% to 82%.

Strategy 198

Strategy Insurance Snapshot Digital Transformation 198

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 342

Enterprise Testing Modeling Reporting 342

John Wheeler

DECEMBER 18, 2018

Last week, I had the distinct privilege to join my Gartner colleagues from our Risk Management Leadership Council in presenting the Q4 2018 Emerging Risk Report. We hosted more than 500 risk leaders across the globe in our exploration of the most critical risks.

Digital Transformation 96

Digital Transformation Risk Management Internet of Things Risk 96

O'Reilly on Data

MAY 21, 2019

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. The technologies I’ve alluded to above—data governance, data lineage, model governance—are all going to be useful for helping manage these risks.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

O'Reilly on Data

MARCH 20, 2019

Like many others, I’ve known for some time that machine learning models themselves could pose security risks. An attacker could use an adversarial example attack to grant themselves a large loan or a low insurance premium or to avoid denial of parole based on a high criminal risk score. DZone (2018). ACM (2018).

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

O'Reilly on Data

APRIL 5, 2023

In 2018, Reuters reported that Amazon had scrapped an AI recruiting tool that had developed a bias against female applicants. We need to think about the risks and about how much someone would be harmed when the AI makes a mistake.” In 2016, Microsoft’s Tay chatbot was shut down after making racist and sexist comments.

Cost-Benefit 309

Cost-Benefit Data-driven Measurement Visualization 309

IBM Big Data Hub

AUGUST 24, 2023

Formed in 2018 to compete in the inaugural Call for Code Global Challenge — which it won — Project OWL is a global team of entrepreneurs focused on creating radically cost-effective and easy to use aerospace technologies. This is where Project OWL comes into play: developing new technologies to help address these challenges.

IT 67

IT Testing Dashboards Technology 67

John Wheeler

APRIL 30, 2018

1) State of Risk Management, 2018 . Risk management continues to be an area of growing maturity and investment for most organizations, as the risk landscape becomes increasingly complex and interconnected. This session explores how integrated risk management (IRM) will help improve risk management practices.

Risk 40

Risk Risk Management Data-driven Strategy 40

Martha Bennett

NOVEMBER 7, 2018

This was the opening sentence of my blog post accompanying Forrester’s DLT/blockchain predictions for 2018. I’m repeating it here, because it’ll continue to hold true for 2019 — with one proviso: There’s a real risk that we’ll experience the beginning […].

Risk 98

Risk IT Technology 98

CIO Business Intelligence

OCTOBER 13, 2023

We were the first European technology company to establish AI guiding principles back in 2018. Then, Since 2018 we have also had an AI Ethics Steering Committee and AI Ethics Advisory Panel that includes external experts and senior leaders from various disciplines. Business AI must also be relevant and reliable.

Contextual Data 139

Contextual Data Optimization Sales Publishing 139

Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., Fractal’s 2018 Net Promoter Score is greater than 70. Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. present a significant barrier to adoption of the latest and greatest approaches.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Smart Data Collective

APRIL 24, 2022

This breach was not discovered until 2018. An extremely good principle and starting point would be to honestly quantify the cybersecurity risk in your organization. Organizations should have strategies and procedures in place for making risk-related choices that represent the organization’s risk tolerance for data theft.

Data Processing 134

Data Processing Risk Measurement Technology 134

Smart Data Collective

NOVEMBER 19, 2021

Though it’s still a high-risk investment, crypto baskets can mitigate risks in various ways. But after gaining popularity in 2018, more diverse options have come to market, with some baskets catering to more experienced investors. Blockchain has been a saving grace for investors concerned about risk management.

Risk 133

Risk Risk Management Metrics Marketing 133

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. In 2018, Reuters broke the news that Amazon had scrapped the project.

Analytics 145

Analytics Machine Learning Insurance Testing 145

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

DataRobot Blog

MAY 25, 2022

From 2018 to 2020, the U.S. The DataRobot AI Cloud Platform can also help identify infrastructure and buildings at risk of damage from natural disasters. The post AI for Climate Change and Weather Risk appeared first on DataRobot AI Cloud. The scale and costs of weather disasters in the U.S. is substantial and growing.

Risk 52

Risk Insurance Predictive Modeling Predictive Analytics 52

Smart Data Collective

JULY 25, 2019

The Global Data Protection Regulation (GDPR) was enacted in May 2018. Consumers need to be aware of the risks and take appropriate measures. Data privacy risks remain a concern after the passage of the GDPR. However, there are still important privacy risks that consumers need to be aware of. The GDPR is not foolproof.

Risk 103

Risk Cost-Benefit Data Processing Measurement 103

erwin

FEBRUARY 13, 2020

Without it, they risk faulty analyses and insights that effect not only revenue generation but regulatory compliance and any number of other organizational objectives. Regulatory compliance was the biggest driver for data governance implementation, according to the 2018 report. Data Governance Attitudes Are Shifting.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

erwin

NOVEMBER 14, 2019

In fact, 98 percent of participants in erwin’s “ 2018 State of Data Governance Report ” consider data governance either “important” or “critically important” to their organizations. So it’s not surprising that the “2018 State of Data Governance Report” revealed regulatory compliance to be the leading driver in data governance adoption.

Data Governance 105

Data Governance Cost-Benefit Data-driven Metadata 105

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. Similarly, in 2018 the volume of breaches dropped to 1.257 billion (from 1.632 billion in 2017), but the records exposed dramatically increased to 471.23 million (from 35.7

Testing 131

Testing Behavioral Analytics Data-driven Big Data 131

CIO Business Intelligence

OCTOBER 11, 2023

AI can help by proactively monitoring operations and flagging when an organization is at risk for non-compliance. AI models can also help evaluate risks, and generative AI can offer suggestions for mitigating those risks. Meeting all these requirements places a tremendous burden on energy companies.

Unstructured Data 137

Unstructured Data Uncertainty Risk Data Processing 137

Smart Data Collective

OCTOBER 13, 2020

In 2018, a study from the University of Bremen in Germany discussed some of the implications of big data for the altcoin industry. But it’s clear they need help in choosing the best altcoins to buy from the more than 2000 high-risk cryptocurrencies available. High Profit Potential Matched by High Volatility and High Risk.

Predictive Analytics 122

Predictive Analytics Analytics Forecasting Marketing 122

CIO Business Intelligence

SEPTEMBER 7, 2022

Cropin Apps, as the name suggests, comprises applications that support global farming operations management, food safety measures, supply chain and “farm to fork” visibility, predictability and risk management, farmer enablement and engagement, advance seed R&D, production management, and multigenerational seed traceability.

B2B 105

B2B Contextual Data Deep Learning IoT 105

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 126

Big Data Technology Testing Cost-Benefit 126

erwin

JULY 12, 2019

While not the first , it is the largest penalty levied since the GDPR went into effect in May 2018. Identify regulatory risks and guide the fortification of network and encryption security standards and policies by understanding where all personally identifiable information is stored, processed and used. Strengthen data security.

Data Governance 110

Data Governance Management Metadata Risk Management 110

IBM Big Data Hub

MAY 31, 2024

But the rates of exploration of AI use cases and deployment of new AI-powered tools have been slower in the public sector because of potential risks. But tax agencies must adopt AI tools with adequate oversight and governance to mitigate risks and build public trust. Furthermore, biases against marginalized groups remain a risk.

Cost-Benefit 98

Cost-Benefit Risk Risk Management Reporting 98

erwin

OCTOBER 31, 2019

percent of its global annual revenue, because 330 million hotel guests were affected by a breach in 2018. While sometimes at rest in databases, data lakes and data warehouses; a large percentage is federated and integrated across the enterprise, introducing governance, manageability and risk issues that must be managed.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

Smart Data Collective

SEPTEMBER 30, 2022

The landscape of blockchain-driven solutions: from 2018 to 2022. In 2018-2019, budding blockchain-based advertising projects provided the first opportunity to buy clean and secure traffic, enriched with genuine data about ad campaign performance. Globally, ad fraud will most certainly cost advertisers $81 billion in 2022.

Advertising 145

Advertising Marketing Technology Uncertainty 145

Domino Data Lab

MAY 15, 2019

I was fortunate to see an early iteration of Pete Skomoroch ’s ML product management presentation in November 2018. Pete Skomoroch, San Francisco, November 2018. Pete indicates, in both his November 2018 and Strata London talks, that ML requires a more experimental approach than traditional software engineering.

Machine Learning 111

Machine Learning Management Experimentation Uncertainty 111

CIO Business Intelligence

MARCH 21, 2024

In 2018, the day after his employer publicly announced it was being acquired, Lynn Lovelady, then VP of IT at Energen, received a pivotal phone call that would reshape his career. Besides, our businesses shouldn’t have to worry that outdated network equipment is putting their operation at risk.”

IT 111

IT Manufacturing Risk Management 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. The internet has always been vulnerable to threats and risks.

Statistics 133

Statistics Risk Measurement Software 133

erwin

JANUARY 30, 2020

Not surprisingly, the respondents that shaped the 2018 report ranked regulatory compliance as the No. 1 reason to implement data governance. And as we suspected, organizations seem to be procrastinating in automating their processes and therefore aren’t positioned to achieve data governance and intelligence at speed or scale.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

erwin

DECEMBER 20, 2018

Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. With that in mind, we’ve compiled a list of the very best, best-practice blog posts from the erwin Experts in 2018.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

Smart Data Collective

DECEMBER 5, 2019

Still, from late 2018 on through 2019, many commercial airlines have ceased operations. In 2018 a few of these decided to expand by offering long-distance routes. Larger operations mean new costs, new competition, unforeseen logistical risks, and new pricing strategies. In part, poor revenue management is to blame.

Machine Learning 94

Machine Learning Cost-Benefit Strategy Insurance 94

DataKitchen

NOVEMBER 20, 2021

Protect your secrets (and hide error risks) – people generally don’t like negative attention. Chip joined DataKitchen as a DataOps chef in 2018 leading a team of DataOps Engineers. Resist disruption (and avoid change) – resisting change keeps a system static and unable to adapt to changing business conditions. Chip Bloche.

Testing 246

Testing Machine Learning Data Warehouse Analytics 246

Cloudera

OCTOBER 3, 2018

This communication contains forward-looking statements within the meaning of the federal securities law that are subject to various risks and uncertainties that could cause our actual results to differ materially from those expressed or implied in such statements. Forward-Looking Statements.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

Smart Data Collective

SEPTEMBER 25, 2019

In one case occurring in June 2018, the University of Texas’s MD Anderson Cancer Center received a $4.3 However, according to a 2018 North American report published by Shred-It, the majority of business leaders believe data breach risks are higher when people work remotely.

Technology 102

Technology Statistics Strategy Insurance 102