David Menninger's Analyst Perspectives

AUGUST 13, 2019

Organizations’ use of data and information is evolving as the amount of data and the frequency with which that data is collected increase. Data now streams into organizations from myriad sources, among them social media feeds and internet-of-things devices. These seemingly ever-increasing volumes of devices and data streams offer both challenges and opportunities to capture information about a business and improve its operations.

Internet of Things 209

Internet of Things IT Business Intelligence Machine Learning 209

Analytics Vidhya

AUGUST 13, 2019

Overview What are loss functions? And how do they work in machine learning algorithms? Find out in this article Loss functions are actually at. The post A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code appeared first on Analytics Vidhya.

Machine Learning 304

Machine Learning Analytics Statistics 304

KDnuggets

AUGUST 13, 2019

Creating effective data visualisations is a core skill for data scientists. This tutorial will guide you through how to easily develop interactive visualisations using the Python library plotly.

Interactive 108

Interactive Visualization 108

Smart Data Collective

AUGUST 13, 2019

We are no strangers to technological advancement. We are positively immersed and surrounded in it. It seems that no matter where one looks, there is the prominent force of technology and rapid digitalisation present in some way. The digital era is well and truly here, and we are becoming increasingly familiar and reliant on it. We wake up and reach for our smartphones, we book our rides to the office on them, order our food on them, do our work on them… It is something that we cannot escape, as

Machine Learning 81

Machine Learning Technology Software Visualization 81

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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.

KDnuggets

AUGUST 13, 2019

The amount of time I had to put in to organize the AI Society left me sometimes sleep-deprived but it was definitely worth it. It was also one of the main factors why I got the job in Machine Learning after all. I hope that this article will inspire you to create your own AI study group!

Machine Learning 94

Machine Learning IT 94

Smart Data Collective

AUGUST 13, 2019

Machine learning is rewriting the rules of the gaming industry. One report showed that Caesars is investing $1 billion in big data. Other companies are following suit. I still remember playing my favorite games growing up, before machine learning was a thing or big data was a household word. You discovered that the computer AI eventually became predictable and easy to beat.

Machine Learning 72

Machine Learning Big Data Data Lake Strategy 72

KDnuggets

AUGUST 13, 2019

Help develop new e-science methods that fundamentally integrates Deep Learning and Multivariate analysis. The postdoc position is full-time for a period of two years.

Deep Learning 64

Deep Learning Testing 64

Teradata

AUGUST 13, 2019

Find out how the early architectural decisions surrounding the Teradata Database are still making a critical contribution to performance today. Read more!

Management 65

Management 65

KDnuggets

AUGUST 13, 2019

Umea University, Sweden is seeking a PhD-student in computational science with focus on chemistry. The position is for 4 years of research including courses on graduate level.

Machine Learning 60

Machine Learning 60

Jedox

AUGUST 13, 2019

Finance professionals generally tend to be risk averse. Transforming your FP&A plan will not be an easy task, but it must be addressed as it is a top priority for the CFO to better support delivering on the expectations from the CEO. In today’s world where technology changes are rampant and society’s expectations of new ideas and stimulation is at a rate not seen before.

Finance 52

Finance Modeling Technology Testing 52

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.

KDnuggets

AUGUST 13, 2019

The core Bayesian idea, when learning from data, is to inject information — however slight — from outside the data. In real-world applications, meta-information is clearly needed. John Elder's Predictive Analytics World keynote covers this and more. PAW London takes place 16-17 Oct.

Predictive Analytics 51

Predictive Analytics Analytics 51

Nutanix

AUGUST 13, 2019

There he was up on the big stage at VMworld 2006 general session: my creation, VirtualMan, animated by @JerryChen speaking live with VMware COO, Carl Eschenbach.

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KDnuggets

AUGUST 13, 2019

Apache Spark is one of the hottest and largest open source project in data processing framework with rich high-level APIs for the programming languages like Scala, Python, Java and R. It realizes the potential of bringing together both Big Data and machine learning.

Big Data 22

Big Data Machine Learning Data Processing IT 22

Nutanix

AUGUST 13, 2019

There he was up on the big stage at VMworld 2006 general session: my creation, VirtualMan, animated by @JerryChen speaking live with VMware COO, Carl Eschenbach.

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Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Data Virtualization

AUGUST 13, 2019

In the Bronze age, recycling became large-scale, opening the doors to cross-border trade and collaboration across nations. Unwanted bronze implements were melted down and poured into a mold to make new implements, and thus the manufacturing technology of the bronze.

Manufacturing 8

Manufacturing IT Technology Data Integration 8

Nutanix

AUGUST 13, 2019

Automation allows for you to quickly assess and mitigate vulnerabilities in real-time. The best tools also provide remediation functions to resolve issues.

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Nutanix

AUGUST 13, 2019

In today’s competitive technology talent environment, culture is what makes a company stand out amongst the crowd. A strong culture helps us hire faster, bring more A-players on board and retain the team that has driven Nutanix’s past successes as a company.

Technology 4

Technology 4

Nutanix

AUGUST 13, 2019

Nutanix’s native software-based encryption utilizes FIPS 140-2 Level 1 validated modules. Software-based encryption delivers security without compromise to data efficiency or performance and supports any Hypervisor.

Software 4

Software 4

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Strategy

Nutanix

AUGUST 13, 2019

Virtual desktops are rapidly replacing physical desktops and laptops in many work environments. These virtual workspaces may be delivered by virtual desktop infrastructure (VDI) running in your data center, or desktop-as-a-service (DaaS) solutions in the cloud.

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Nutanix

AUGUST 13, 2019

The Nutanix AOS releases together enhance the core AOS storage performance, storage capacity, data protection, security, and cluster lifecycle management. We are highlighting a few key capabilities in this blog.

Management 4

Management 4

Nutanix

AUGUST 13, 2019

Nutanix is introducing new consumption models for specific use cases to provide another option to capacity-based (CBL) and appliance licensing, giving you the flexibility to bring different Nutanix software together in a way that is simple to plan, price, and purchase. The two new use cases are virtual desktop infrastructure (VDI) and remote office/branch office (ROBO) deployments.

Software 4

Software Modeling 4

Nutanix

AUGUST 13, 2019

Nutanix proudly participated at the general availability launch of the AMD EPYC™ family of processors.

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Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Testing