Octopai

JANUARY 8, 2020

Octopai’s metadata discovery and management suite provides visualization tools that empower you to see and report everything about sensitive customer data. You can evaluate and mitigate compliance risks. Octopai's Automated Metadata Management Platform can make CCPA compliance a breeze. Not Yet CCPA Compliant?

Metadata 54

Metadata Key Performance Indicator OLAP Forecasting 54

Octopai

JANUARY 25, 2021

The cost of data breaches in 2019 was 87% higher than in 2018 , with the number rising each year. With such sensitive information at risk, the federal government passed the Health Insurance Portability and Accountability Act (HIPAA). million Americans experiencing compromised personal data in 2019, compliance is key.

Insurance 52

Insurance Metadata Statistics Reporting 52

O'Reilly on Data

MARCH 31, 2020

You might have millions of short videos , with user ratings and limited metadata about the creators or content. Job postings have a much shorter relevant lifetime than movies, so content-based features and metadata about the company, skills, and education requirements will be more important in this case.

Management 332

Management Machine Learning Experimentation Metrics 332

Cloudera

SEPTEMBER 15, 2022

Foundational to the data fabric are metadata driven pipelines for scalability and resiliency, a unified view of the data from source through to the data products, and the ability to operate across a hybrid, multi-cloud environment. . What is a data mesh? How does it compare to data fabric?

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

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. Its value can be hard to demonstrate to those who don’t work directly with data and metadata on a daily basis.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

erwin

OCTOBER 24, 2019

While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. And to truly understand it , you need to be able to create and sustain an enterprise-wide view of and easy access to underlying metadata. This isn’t an easy task.

Metadata 104

Metadata Management Data-driven Data Architecture 104

O'Reilly on Data

MARCH 18, 2020

The new survey, which ran for a few weeks in December 2019, generated an enthusiastic 1,388 responses. This year, about 15% of respondent organizations are not doing anything with AI, down ~20% from our 2019 survey. It seems as if the experimental AI projects of 2019 have borne fruit. But what kind? Bottlenecks to AI adoption.

Enterprise 311

Enterprise Deep Learning Data Governance Risk 311

Domino Data Lab

APRIL 3, 2019

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Allows metadata repositories to share and exchange.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

IBM Big Data Hub

FEBRUARY 22, 2024

Recognizing this, the Department of Defense (DoD) launched the Joint Artificial Intelligence Center (JAIC) in 2019, the predecessor to the Chief Digital and Artificial Intelligence Office (CDAO), to develop AI solutions that build competitive military advantage, conditions for human-centric AI adoption, and the agility of DoD operations.

Metadata 103

Metadata Measurement Risk Modeling 103

Octopai

SEPTEMBER 16, 2019

Protect your data critical path: In BI, a “critical path” is the series of components (tables, ETL processes, reports, and other artifacts) that must be migrated correctly; failure of any one of these components can put the entire migration project at risk. How do you get started with migrating to modern BI?

Metadata 41

Metadata Reporting Management Risk 41

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. One of the longer-term trends that we’re seeing with Airflow , and so on, is to externalize graph-based metadata and leverage it beyond the lifecycle of a single SQL query, making our workflows smarter and more robust. BTW, videos for Rev2 are up: [link].

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Domino Data Lab

JUNE 2, 2019

Ludwig (@RandiRLudwig) May 23, 2019. Ludwig (@RandiRLudwig) May 24, 2019. Trying to dissect a model to divine an interpretation of its results is a good way to throw away much of the crucial information – especially about non-automated inputs and decisions going into our workflows – that will be required to mitigate existential risk.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

CIO Business Intelligence

APRIL 7, 2022

The number of people quitting their jobs has been unprecedented throughout the pandemic, hitting a record high of 48 million people in 2020, up from 42 million in 2019, which was the previous record high. 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

Cloudera

AUGUST 4, 2021

A 2019 Experian study showed that 95% of organizations see negative impacts from poor data quality, resulting in wasted resources and additional costs, ineffective business initiatives, poor customer experience, and delayed data migration projects. This is essential to delivering data-driven insights.

Data Governance 87

Data Governance Metadata Data-driven Enterprise 87

erwin

MARCH 4, 2021

It is the foundation for regulatory compliance and de-risking operations for competitive differentiation and growth. Respondents to McKinsey’s 2019 Global Data Transformation Survey reported that an average of 30 percent of their total enterprise time was spent on non-value-added tasks because of poor data quality and availability.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

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. O’Reilly Ideas (2019). DZone (2018).

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

Domino Data Lab

AUGUST 8, 2019

Sci Foo 2019. The gist is, leveraging metadata about research datasets, projects, publications, etc., For example, meeting Carole Goble was one of the top highlights of Sci Foo 2019 for me. The probabilistic nature changes the risks and process required. To wit: data science is a team sport.

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. Metadata Studio – our new product for streamlining the development and operation of solutions involving text analysis. The last 3 years: Turn a boutique shop into scalable technology business.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Alation

FEBRUARY 8, 2022

Zhamak Dehghani of Thoughtworks defined data mesh in 2019, tying it to domain-driven design and calling upon data users to “embrace the reality of ever present, ubiquitous and distributed nature of data.”. These are valuable systems for enterprise risk management. ” 1.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Smart Data Collective

DECEMBER 19, 2019

© Statista 2019 Also, here is a list of some other stats. The feedback gathered from the respondents pointed out the following potential risks associated with implementing AI to handle cybersecurity threats. Inadequate data and metadata protection. Inadequate data and metadata protection.

Machine Learning 61

Machine Learning Reporting Testing Marketing 61

Domino Data Lab

OCTOBER 9, 2019

In some cases, their work is vital when millions of lives may be at risk due to natural disasters. Metadata Challenges. NOAA teams face substantial challenges in terms of metadata exchange: much of their incoming raw sensor telemetry is time-series data, which uses a netCDF TF format natively. AI CA 2019 highlights.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Cloudera

JANUARY 22, 2019

Forrester acknowledges Cloudera (as well as Hortonworks, which merged with Cloudera in January 2019) as being among the top 15 providers of Big Data Fabric**. The top Big Data Fabric use cases recognized by Forrester are 360-degree view of the customer, Internet-of-things (IoT) analytics, and real-time and advanced analytics.

Big Data 45

Big Data Data Lake Internet of Things Enterprise 45

Cloudera

MAY 22, 2019

The 2019 Data Impact Awards recognize organizations’ achievements with the Cloudera platform in seven categories: DATA FROM THE EDGE-TO-AI. The post Announcing the 2019 Data Impact Awards appeared first on Cloudera Blog. We rely on the judges to score nominations, Cloudera plays no role in judging (so hold on to your compliments!).

Machine Learning 57

Machine Learning Data Architecture IoT Metadata 57

O'Reilly on Data

MAY 21, 2019

Sometime in Q3/Q4 of 2019, specialized hardware for training deep learning models will become available. Metadata and artifacts needed for audits. The technologies I’ve alluded to above—data governance, data lineage, model governance—are all going to be useful for helping manage these risks. Managing risk in machine learning”.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

erwin

NOVEMBER 14, 2019

Data Governance 2.0 , as defined by Forrester, is as “an agile approach to data governance focused on just enough controls for managing risk, which enables broader and more insightful use of data required by the evolving needs of an expanding business ecosystem.”. It also helps organizations operationalize these steps.

Data Governance 105

Data Governance Cost-Benefit Data-driven Metadata 105

Alation

JUNE 7, 2023

As these issues continue to swirl, many business leaders will suggest pulling back, waiting to see what happens, and minimizing exposure to risk. A restaurant experience of 2019 is much different than one today. Obviously, no one knows what tomorrow will bring. Which budgets do you cut and where do you invest?

Uncertainty 52

Uncertainty Data Lake Risk Data-driven 52

erwin

NOVEMBER 14, 2019

Data Governance 2.0 , as defined by Forrester, is as “an agile approach to data governance focused on just enough controls for managing risk, which enables broader and more insightful use of data required by the evolving needs of an expanding business ecosystem.”. It also helps organizations operationalize these steps.

Data Governance 40

Data Governance Cost-Benefit Data-driven Metadata 40

Andrew White

JANUARY 11, 2021

Some data is more a risk than valuable. Risk Management (most likely within context of governance). See: Use Infonomics to Quantify Data Monetization Risks and Establish a Data Security Budget. Saul Judah is our main person focusing on D&A risk management. Would really like to explore this one in debate. Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Alation

FEBRUARY 20, 2020

Gartner notes that most industries already have CDOs, and predicts that by 2019, 90% of large organizations will have hired a chief data officer. At Munich Re, our data strategy is geared to offer new and better risk-related services to our customers. Today, the scope of the CDO is shifting toward empowering data-driven organizations.

Data-driven 52

Data-driven Internet of Things Data Lake Strategy 52

Jet Global

MAY 1, 2023

CEO Priorities Grow revenue and “hit the number” Manage costs and meet profitability goals Attract and retain talent Innovate and out-perform the competition Manage risk Connect the Dots Present embedded analytics as a way to differentiate from the competition and increase revenue. Present your business case. addresses).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52