Wed.Sep 16, 2020

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Machine Learning in Cyber Security — Malicious Software Installation

Analytics Vidhya

Introduction Monitoring of user activities performed by local administrators is always a challenge for SOC analysts and security professionals. Most of the security framework. The post Machine Learning in Cyber Security — Malicious Software Installation appeared first on Analytics Vidhya.

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Predictive Analytics: 4 Primary Aspects of Predictive Analytics

Smart Data Collective

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data. These statistical models are growing as a result of the wide swaths of available current data as well as the advent of capable artificial intelligence and machine learning.

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Pneumonia Detection using CNN with Implementation in Python

Analytics Vidhya

Introduction Hey there! Just finished another deep learning project several hours ago, now I want to share what I actually did there. So the. The post Pneumonia Detection using CNN with Implementation in Python appeared first on Analytics Vidhya.

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PODCAST: AI for Digital Enterprise – Episode 6: US Firms Eyeing AI-led Digital Transformation for Growth

bridgei2i

PODCAST: AI for the Digital Enterprise. Episode 6: US Firms Eyeing AI-led Digital Transformation for Growth. Listening time: 13 minutes. US Firms Eyeing AI-led Digital Transformation for Growth. After two consecutive quarters of revenue loss and a cautiousness to invest due to uncertain market scenario, some businesses in the US are trying to leverage new datasets for better demand forecasts, and therefore pass those inputs for supply chain efficiencies and offer better customer experience.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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TensorFlow Object Detection — 1.0 & 2.0: Train, Export, Optimize (TensorRT), Infer (Jetson Nano)

Analytics Vidhya

Part 1 — Detailed steps from training a detector on a custom dataset to inferencing on jetson nano board or cloud using TensorFlow 1.15. The post TensorFlow Object Detection — 1.0 & 2.0: Train, Export, Optimize (TensorRT), Infer (Jetson Nano) appeared first on Analytics Vidhya.

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Knowledge Graphs vs. Property Graphs – Part II

TDAN

Differences in Terminology and Capability Building on the terms and concepts introduced in Part I of this white paper, Part II digs deeper into the difference in the meaning of some key terms used in both Property Graphs and Knowledge Graphs, including LABELS, TYPES, and PROPERTIES. Key terms such as these actually mean very different […].

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Who Should Own Data Governance?

TDAN

One of the first steps organizations take when preparing to deliver a data governance program is to determine where in the organization data governance should be placed. Or in other words, who should own data governance? There are typically two schools of thought: either “the business” should own data governance or IT (Information Technology) should […].

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The greatest gift to community: what virtual events offer that in-person events do not.

Jen Stirrup

I have been reflecting on safety at virtual events versus in-person events. Virtual events offer a level of safety that in-person events do not have, because I am not in a crowd of people. Nobody is going to put me in any physical danger or harass me unless it is online, and it is easier to shut down there than it is in person. Harassment does happen at events, unfortunately, both virtual and in person.

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A Smart Approach to Logical Data Warehousing, with Azure Synapse and the Denodo Platform

Data Virtualization

Organizations all over the world are migrating their IT infrastructures and applications to the cloud. Organizations are leveraging cloud analytics to extract useful insights from big data, which draws from a variety of sources such as mobile phones, Internet of.

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Protect, Store and More! See What Sirius BaaS Can Do for You

CDW Research Hub

Companies trying to manage their own backup and recovery face a host of challenges and complications that are often impossible to overcome. Data protection typically falls on administrators with full workloads and other responsibilities, leaving them with no time to assess their current environment and ensure they are correctly protecting workloads.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Why Small Businesses Must Focus on Data Insights

TreehouseTechGroup

Small businesses have interesting times in store for them ahead. With the advent of a new era of IoT and automation, imagine the amount of data that every organization, big and small, is generating. Data is valuable — whether it is data companies collect about customers who are using their products or services, or data… The post Why Small Businesses Must Focus on Data Insights appeared first on Treehouse Tech Group.

IoT 52
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Clean Up Your Enterprise Data Mess the Easy Way: Ignore it

Teradata

If you’re responsible for data strategy in a large organization, there’s a good chance you’ve got a data mess on your hands. So what do you do with it? Read more.

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Why Small Businesses Must Focus on Data Insights

TreehouseTechGroup

Small businesses have interesting times in store for them ahead. With the advent of a new era of IoT and automation, imagine the amount of data that every organization, big and small, is generating. Data is valuable — whether it is data companies collect about customers who are using their products or services, or data. Read More. The post Why Small Businesses Must Focus on Data Insights appeared first on Treehouse Tech Group.

IoT 52