Bill Schmarzo - Dell EMC

FEBRUARY 14, 2018

Organizations use accounting, auditing, investigative, data and analytic skills to “follow the money” and determine their financial value. Figure 3: Customer Analytic Profile. See “ Analytic Profiles: Key to Data Monetization ” for more details on Analytic Profiles. Figure 4: Optimizing the Customer Lifecycle.

Analytics 40

Analytics Artificial Intelligence Customer Experience Big data 40

ARMA International

SEPTEMBER 22, 2021

Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. For example, once a health record has met the regulatory requirements, the record can be anonymized and kept for years for such purposes as medical research and predictive analytics.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

Bill Schmarzo - Dell EMC

MARCH 5, 2018

The conversation is simple because the objective is simple: How do I become more effective at leveraging (big) data and analytics (artificial intelligence) to power my business? If success is simply adopting and deploying advanced analytics technologies, then you don’t need strategic guidance to chart that journey. It’s simple.

Artificial Intelligence 111

Artificial Intelligence Analytics Big data Mining 111

Brandeis Records Manager

FEBRUARY 21, 2015

As if IG program development, big data, text mining and predictive analytics, IoT, mobile/BYOD, FOIA, eDiscovery, PII security, cloud, and social media aren’t enough to track, we should boldly expand our agenda in order to cover the massive – no, ubiquitous – range of topics that records management actually covers.

Records Management 46

Records Management Paper FOIA Record destruction 46

IBM Big Data Hub

SEPTEMBER 11, 2023

Built on decades of innovation in data security, scalability and availability, IBM Db2 keeps business applications and analytics protected, highly performant, and resilient, anywhere. enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics.

Analytics 93

Analytics Cloud IoT Paper 93

Bill Schmarzo - Dell EMC

MARCH 5, 2018

The conversation is simple because the objective is simple: How do I become more effective at leveraging (big) data and analytics (artificial intelligence) to power my business? If success is simply adopting and deploying advanced analytics technologies, then you don’t need strategic guidance to chart that journey. It’s simple.

Artificial Intelligence 40

Artificial Intelligence Analytics Mining Big data 40

The Last Watchdog

MARCH 17, 2020

In fact, there is a potential for advanced encryption systems, in general, to crack open a whole new world of cloud computing and IoT-enabled services. More data is coming as 5G and IoT usage climbs. Right now cloud-stored data has to be downloaded and decrypted in order to conduct a search or do any sort of analytics.

Encryption 171

Encryption Cloud Authentication IoT 171

CGI

OCTOBER 31, 2018

Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI. Yet, they also indicate that utilities are still in the early stages of exploiting advanced analytics and intelligent automation. Advanced analytics and automation: The business focus.

Energy and Utilities 40

Energy and Utilities Analytics Digital transformation Customer Experience 40

IBM Big Data Hub

MAY 17, 2023

It promises end-to-end solutions to manage and monitor a fleet of drones, runs inspection missions to capture high-quality data, accesses inspection reports and derives actionable information through AI-driven analytics—all through a single platform. Industry use case: A fully functional digital twin is the result of MAS in action.

Energy and Utilities 86

Energy and Utilities Data collection Analytics Mining 86

CGI

NOVEMBER 9, 2015

IoT – It’s more than just connecting a sensor. There is a growing recognition by business leaders and analysts that there is more to the Internet of Things (IoT) than just connecting a remote device or sensor to an application to monitor a temperature or alarm. By utilising the above categories, real value can be generated by IoT.

IoT 40

IoT Mining Communications Analytics 40

eSecurity Planet

APRIL 7, 2023

IoT (printers, IP phones, security cameras, etc.) Although the features beyond network access control and services can be valuable, they are beyond the scope of this review and will not be covered further here. Agents Forescout Platform is an agentless solution. Network infrastructure (switches, routers, wireless access points, etc.)

IoT 79

IoT Compliance Cloud Access 79

OpenText Information Management

SEPTEMBER 17, 2019

Partnering with OpenText™ to develop your OEM solutions offers many benefits, but the one I hear about most is how we eliminate the time, money and effort associated with designing, building and maintaining the components that support your vision.

Digital transformation 40

Digital transformation Mining Manufacturing Analytics 40

IBM Big Data Hub

JUNE 30, 2023

In the oil and gas or mining industries, for example, there is a strong need to bring safety, reliability and compliance information into workflows. It’s a market-leading single, integrated cloud-based platform that uses AI, IoT and analytics to optimize performance, extend asset lifecycles and reduce operational downtime and costs.

Digital transformation 67

Digital transformation IoT Artificial Intelligence Compliance 67

eDiscovery Daily

MARCH 29, 2018

I think the point though not to lose sight of is that we still have a large task in handling more traditional forms of documents and ESI, and that these may still be the “low hanging fruit” in many, many cases without worrying about exotic forms of IOT that may or may not be relevant. Where are mining operations?

Blockchain 34

Blockchain GDPR e-Discovery Information governance 34

Bill Schmarzo - Dell EMC

JANUARY 29, 2018

As a standard operating practice, football front offices should apply Machine Learning to mine the large body of football game data to identify those “known unknowns” and “unknown unknowns” relationships buried in the data. Basing analytics models on flawed variables can lead to sub-optimal and even wrong decisions. Trap: Sunk Costs.

Analytics 40

Analytics Risk Data science Big data 40

eSecurity Planet

MAY 2, 2024

Risk-based analytics: Considers the level of risk as the context for the level of permission needed to access systems, applications, and data. User and entity behavior analytics (UEBA) : Monitors behavior of users, hardware, and network traffic to detect and potentially block abnormal and malicious activity.

Cybersecurity 94

Cybersecurity Ransomware Passwords Cloud 94

OpenText Information Management

MARCH 10, 2020

Companies today expect a single provider to solve multiple challenges. They expect their vendors to digitally transform themselves and their products to support their own business transformations.

Digital transformation 74

Digital transformation Marketing Mining Manufacturing 74

Brandeis Records Manager

SEPTEMBER 19, 2016

We can also partner with technology in the near term to mitigate the chaos-for example, using R programming tools to mine text, categorize, cluster, and de-duplicate unstructured data collections. Gaining analytics skills can also enable us to continue our work into the next-gen environment.

Blockchain 62

Blockchain Records Management Unstructured data Artificial Intelligence 62