Sat.Nov 16, 2019 - Fri.Nov 22, 2019

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

The modern world is changing more and more quickly with each passing year. If you don’t pay attention to new changes or keep up the pace, it’s easy to fall behind the times (and the market) while other companies beat you to the punch. The solution? To keep abreast of current changes – at least at a level of basic understanding. Adding to that, if you can’t understand the buzzwords others are using in conversation, it’s much harder to look smart while participating in that conversation.

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Is Big Data Creating A Competitive Edge For Small Businesses?

Smart Data Collective

Big data is transforming the daily realities of running a business. Companies can use big data to handle certain tasks more quickly and cost-effectively than ever. Vince Campisi, CIO of GE Software, Ash Gupta, an executive with American Express, and many other companies use big data to get a competitive advantage. Of course, big data also raises some new challenges.

Big Data 109
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Making Data-Driven Business Practices ‘Sticky’

Corinium

Cultural change does not happen overnight.

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Want to Build Machine Learning Pipelines? A Quick Introduction using PySpark

Analytics Vidhya

Overview Here’s a quick introduction to building machine learning pipelines using PySpark The ability to build these machine learning pipelines is a must-have skill. The post Want to Build Machine Learning Pipelines? A Quick Introduction using PySpark appeared first on Analytics Vidhya.

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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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There’s a path to an AI ROI

O'Reilly on Data

In this interview from O’Reilly Foo Camp 2019, Hands-On Unsupervised Learning Using Python author Ankur Patel discusses the challenges and opportunities in making machine learning and AI accessible and financially viable for enterprise applications. Highlights from the interview include: The biggest hurdle businesses face when implementing machine learning or AI solutions is cleaning and preparing unstructured data that exists across silos.

ROI 132
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Understanding Social And Collaborative Business Intelligence

datapine

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data discovery tools available in the market to take their brand forward. Efficient tactics can be created along with a better overall decision-making process within an organization with the help of social and collaborative business intelligence too

More Trending

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A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone

Analytics Vidhya

Overview The attention mechanism has changed the way we work with deep learning algorithms Fields like Natural Language Processing (NLP) and even Computer Vision. The post A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone appeared first on Analytics Vidhya.

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Advice for New and Junior Data Scientists

KDnuggets

If you are a new Data Scientists early in your professional journey, and you’re a bit confused and lost, then follow this advice to figure out how to best contribute to your company.

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Feed your data lake with change data capture for real-time integration and analytics

IBM Big Data Hub

Haruto Sakamoto, the Chief Information Officer at a Japanese multinational imaging company, had a few challenges to contend with. His business units had a presence in 180 countries worldwide with geographically-dispersed data warehouses and business intelligence applications in various locations.

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Interview with Pragasen Pather, GM: IT Governance, Risk & Security, Sun International

Corinium

How are you creating a better-integrated security ecosystem in your organisation? My recipe to create an integrated ecosystem is to merge technology (operational and infrastructure) with business value(process) and culture(people). The internal ecosystem must be complimented with external partnerships and we need to start working together to redefine our end goal and purpose as a security professional.

Risk 150
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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Data Science 101 would like to welcome Community and Sponsored Posts

Data Science 101

After receiving some interest, I have decided to open up the posting more to the data science community. There are more details on the Contribute Page. If there is enough interest, I will be posting community contributed posts on Wednesdays and sponsored posts on Thursdays. What is the difference? Community contributed posts are free and are intended for individuals.

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Automated Machine Learning Project Implementation Complexities

KDnuggets

To demonstrate the implementation complexity differences along the AutoML highway, let's have a look at how 3 specific software projects approach the implementation of just such an AutoML "solution," namely Keras Tuner, AutoKeras, and automl-gs.

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IBM Cloud Pak for Data ready to support DataOps’ practices

IBM Big Data Hub

The number of business segments requiring data to drive contextual insights is increasing. Leaders are seeking new ways to manage the pressures of delivering high-quality data faster across their businesses. To date, many of these projects have focused solely on ingesting data into a data lake which has led to repositories of uncleansed and ungoverned data.

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Interview with Janine West, Data Privacy Officer, Investec

Corinium

How are you dealing with growing spectre of privacy regulations? By implementing an ongoing program with a multi-pronged approach involving business (as a first line of defence), Data Protection, Cyber and Information Security and Operational Risk to ensure that we meet the requirements from a regulatory as well as from a best practice standards point of view.

Risk 150
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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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What is Actionable Data Anyway?

Juice Analytics

Our office Wheel of Destiny is the most actionable of data. The results tell you where to go to lunch. No questions asked. Actionable. Is there an adjective that is more fun to put in front of the word data ? Perhaps big. I’m as guilty as anyone. After all, the third step in our data storytelling framework is Action. But what types of actions are we talking about?

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Geocoding Automation: Free and Paid with Python, Selenium and Google

KDnuggets

This tutorial will take you through two options that have automated the geocoding process for the user using Python, Selenium and Google Geocoding API.

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A picture worth a thousand volts

IBM Big Data Hub

Learn how marine solution provider James Fisher and Sons plc and the IBM Data Science and AI Elite team surge towards a renewable tomorrow with the electrifying power of data visualization built on IBM Watson Studio.

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Interview with Marlany Naidoo, Head: Information Security & IT GRC, Mercantile Bank

Corinium

How are you strategically allocating your budget/resources to deal with the growing scourge of hacks and data breaches? Spend has to be against your business appetite and not against every threat. We will never have enough money to close all the gaps. Investment is channelled towards quick detection and skilled teams to eradicate the breach.

IT 150
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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Calling Chief Data Officers!

Andrew White

Calling Chief Data Officers – or equivalents like had of analytics/CAOs, head of data and analytics, etc. Add your voice to the Gartner 5th Annual Chief Data Officer (CDO) Study! Free report for participating execs. Click here to complete the survey. Please ensure you have set aside enough time to complete the survey – 20 minutes to avoid losing your valuable work.

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Text Encoding: A Review

KDnuggets

We will focus here exactly on that part of the analysis that transforms words into numbers and texts into number vectors: text encoding.

Analytics 115
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How advanced analytics is transforming marketing

IBM Big Data Hub

Segmentation, targeting, positioning – how does an organization optimize these strategic approaches in the context of retention? Which factors should the segmentation take into consideration? This is where good information management and analytics come into play. Explore IBM’s solutions today: Modernization of your information architecture and Advanced Analytics.

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Interview with Itumeleng Makgati, Group CISO, SASOL

Corinium

In the run-up to CISO Africa 2020 I had the great pleasure to sit down with Itumeleng Makgati, the new Group CISO with SASOL, to talk about careers, strategic vision, and thoughts on "hacktivism".

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Dynamic Charts: Make Your Data Move

FineReport

How Dynamic Charts Work? Made by FineReport. The above picture is a dashboard made by FineReport that contains dynamic charts. By clicking the corresponding position of the pie chart, you can display the data of the specific area, which is more interactive. Let’s compare the data presented by Excel. Is it suddenly monotonous and cold? This is the most intuitive experience that dynamic charts can bring.

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The Math Behind Bayes

KDnuggets

This post will be dedicated to explaining the maths behind Bayes Theorem, when its application makes sense, and its differences with Maximum Likelihood.

IT 109
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Customer Data Platforms: Silo Killer or Yet Another Silo?

Teradata

How do you ensure your Customer Data Platform is enabling breakthrough customer experience business outcomes, rather than hindering them? Find out more!

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Interview with Sandro Bucchianeri, Group Chief Security Officer, Absa

Corinium

In the run-up to CISO Africa 2020 I had the great pleasure to sit down with Sandro Bucchianeri, the Group Chief Security Officer with Absa to talk about security culture, communicating to the board and handling internal threats.

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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.

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Enterprise Architecture Tools and the Changing Role of the Enterprise Architect

erwin

As enterprise architectures become more complex, enterprise architecture tools are becoming more important than ever. The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”.

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Three Methods of Data Pre-Processing for Text Classification

KDnuggets

This blog shows how text data representations can be used to build a classifier to predict a developer’s deep learning framework of choice based on the code that they wrote, via examples of TensorFlow and PyTorch projects.

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Optimization technology and AI in the real world: Operational efficiency stories

IBM Big Data Hub

In this blog post, we’ll share real-world stories of how decision optimization technology delivers prescriptive analytics capabilities and opens the door to operational efficiency. We will also introduce you to the IBM data science and AI platform solutions that can deliver operational efficiency that satisfies the business.

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Interview with Steve Jump, Head of Corporate Information Security Governance, Telkom

Corinium

1. How are you strategically allocating your budget/resources to deal with the growing scourge of hacks and data breaches?

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.