Thu.Nov 14, 2019

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Getting to know Shrian Ramsamuj, Cyber Security Professional, Grindrod Bank

Corinium

Shrian Ramsamuj, Cyber Security Professional, Grindrod Bank will be presenting at the CISO Africa 2020 event in February 2020 and we caught up with him to find out more about himself and his current view of the industry.

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Storing Data On a Piece of GLass – Microsoft’s Project Silica

Data Science 101

Last week at Microsoft Ignite 2019, Microsoft Research announced the release of Project Silica. This is an amazing new technology to store data on a piece of glass. I was lucky enough to get the opportunity to sit down with Antony Rowstron , Deputy Lab Director at Microsoft Research, and ask him all my questions. An interview with Project Silica Researcher, Ant Rowstron.

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Topics Extraction and Classification of Online Chats

KDnuggets

This article provides covers how to automatically identify the topics within a corpus of textual data by using unsupervised topic modelling, and then apply a supervised classification algorithm to assign topic labels to each textual document by using the result of the previous step as target labels.

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Predictive Analytics Is Reshaping UX In The Global Gaming Industry

Smart Data Collective

The digital gaming industry has undergone jolting changes over the past decade, as more organizations are looking towards data driven solutions. Gaming organizations have started to use big data to develop a deeper understanding of target customers. They have refined their data decision-making approaches to include new predictive analytics models to forecast trends and adapt to evolving customer behavior.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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How to Visualize Data in Python (and R)

KDnuggets

Producing accessible data visualizations is a key data science skill. The following guidelines will help you create the best representations of your data using R and Python's Pandas library.

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Model Interpretability: The Conversation Continues

Domino Data Lab

This Domino Data Science Field Note covers a proposed definition of interpretability and distilled overview of the PDR framework. Insights are drawn from Bin Yu, W. James Murdoch, Chandan Singh, Karl Kumber, and Reza Abbasi-Asi’s recent paper, “Definitions, methods, and applications in interpretable machine learning” Introduction. Model interpretability continues to spark public discourse among industry.

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5 KPIs and Metrics Membership-Based Businesses Must Track

Smart Data Collective

The subscription-based business model is no longer the preserve of magazines and home security systems. Today, we’re seeing it employed in a variety of other markets, including everything from software to education to physical products. In order for these operations to be profitable and sustainable, however, they require constant optimization. If you get the right data in hand, it becomes a lot easier to know which direction to take.

Metrics 64
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AI ROI: The Questions You Need To Be Asking

KDnuggets

During this free Metis Corporate Training webinar, Dec 5 @ 12pm ET, Kerstin Frailey, Senior Data Scientist and Head of Executive Corporate Training at Metis, will walk through what you need to ask before, during, and after the lifetime of a data science project to accurately assess its impact on the business.

ROI 56
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How to tackle a real-world problem with GuidedLDA

Insight

Snapshot of interactive visualization of the topics identified by Guided LDA and the keywords in each topic (pyLDAvis) Originally posted on A nalytics Vidhya. The prevalent use of online platforms for interaction and the large size of the text data from users’ input makes digesting data increasingly more time-consuming. Sown to Grow is an online educational company with the aim to empower students by providing a platform for setting goals, reflecting on strategies, and interacting with their tea

Testing 54
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Nutanix Deconstructed: What Our Subscription Evolution Means for Partners

Nutanix

If you love learning something new each and every day, then Nutanix is the right partner for you.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Top High-Value AI Use Cases in Retail & CPG

Dataiku

From hyper-targeted marketing campaigns and customer journey optimization to transforming warehouse and store management, AI is empowering brands and retailers to understand their customers and their businesses better in order to deliver unique, differentiated, one-on-one experiences.

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Nutanix Deconstructed: What Our Subscription Evolution Means for Partners

Nutanix

If you love learning something new each and every day, then Nutanix is the right partner for you.

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DataRobot and Kx Partnership: Modernizing the Financial Markets with AI-Driven Forecasting

DataRobot

Competition throughout the financial markets is becoming more intense and top-line growth is becoming more challenging than ever to achieve. The high volume of market data makes searching for hidden patterns and developing forward-looking predictive models unruly, cumbersome, and slow using traditional methods and technologies. How can financial firms overcome these obstacles and remain competitive?

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The Truth About Gaining 360 Degree Views of Your Data

TIBCO

In the enterprise software space, there’s quite a bit of chatter about 360° views. These views are tied to a specific business entity, such as customers. But what does that really mean? In the simplest sense, a 360° view gives you all the information about the specific business entity of interest. The problem is that not everyone uses the term in the same manner.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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Is your Data Lineage ROI this impressive?

Octopai

There aren’t that many actions you perform every single day more than just a handful of times, other than say breathing, blinking and the like. These are critical bodily functions that we must do in order to actually go on living. . . But what about specific critical actions in the workplace? You know, actions that we must perform in order to keep the business going, alive and healthy.

ROI 45
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Data Governance Tools: What Are They? Are They Optional?

erwin

Data governance tools used to occupy a niche in an organization’s tech stack, but those days are gone. The rise of data-driven business and the complexities that come with it ushered in a soft mandate for data governance and data governance tools. Data governance refers to the strategic and ongoing efforts by an organization to ensure that data is discoverable and its quality is good.

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Data Governance Tools: What Are They? Are They Optional?

erwin

Data governance tools used to occupy a niche in an organization’s tech stack, but those days are gone. The rise of data-driven business and the complexities that come with it ushered in a soft mandate for data governance and data governance tools. Data governance refers to the strategic and ongoing efforts by an organization to ensure that data is discoverable and its quality is good.