Thu.Jun 30, 2022

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Build a Step-by-step Machine Learning Model Using R

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Machine Learning Model Machine learning is changing the approach of businesses in the world. Every company, large or small, aspires to find insight from the large amounts of data it stores and processes regularly. The desire to predict the future motivates […].

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Making Sense of CRISP-ML(Q): The Machine Learning Lifecycle Process

KDnuggets

Learn about the standard process for building sustainable machine learning applications.

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Partitioning and Bucketing in Hive

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hive is a popular data warehouse built on top of Hadoop that is used by companies like Walmart, Tiktok, and AT&T. It is an important technology for data engineers to learn and master. It uses a declarative language called HQL, also known […]. The post Partitioning and Bucketing in Hive appeared first on Analytics Vidhya.

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Ways Businesses Can Boost Logistics Performance with Analytics

Smart Data Collective

Smart companies realize that analytics technology needs to be at the core of their business models. One of the most important ways that analytics can help companies thrive is by improving their logistics. Analytics Technology Helps Companies Bolster their Logistics Strategies. If you were cryogenically frozen twenty years ago, upon awakening, you’d probably be more shocked to learn that you can place an order on the internet and get it the same day, than you would about the world’s billionaires

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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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Getting Started with Linux File System

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. This article will discuss the essential and valuable commands required for managing Files and Directories in Linux Operating System. Prerequisites: You must have a Linux Operating System and some basic knowledge of Linux Shell. Source – [link] What is Linux? Linux is the most […].

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Using Instagram Highlight Covers in Your Data-Driven Marketing Strategy

Smart Data Collective

Modern marketing strategies rely heavily on big data. One study found that retailers that use big data have 2.7 times greater brand awareness than those that don’t. Big data is even more important for companies that depend on social media marketing. Geoffrey Moore tweeted about this in 2012 when he said: “Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway.”.

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Data science drives big decisions at Kohl’s

CIO Business Intelligence

Long before the advent of customer data platforms (CDPs) , Kohl’s business model centered on collecting and cultivating customer data. “We’ve had a homegrown customer data environment for decades,” says Paul Gaffney, CTO and supply chain officer at the $19.4 billion American department store chain. “And we’re quite happy with our custom implementation.”.

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What’s the Difference Between Web 2.0 and Web 3.0?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Source: [link] The internet has seen major advancements in recent years. The introduction of Web 2.0 was a big step ahead with the help of chatbots, audiobooks, and video sharing as they proved to open up new avenues even before we took […]. The post What’s the Difference Between Web 2.0 and Web 3.0?

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7 Steps to Mastering Python for Data Science

KDnuggets

Here’s how you can learn to code in Python from scratch in 7 easy steps.

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Amazon Redshift: Basic Introductory Guide

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction When an organization gains power, the size of the data that needs to be stored, monitored and analyzed increases dramatically. In normal data repositories, queries will start to take more time, making data harder to manage. With the advent of cloud […]. The post Amazon Redshift: Basic Introductory Guide appeared first on Analytics Vidhya.

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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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Modernizing a public health system with Teradata’s connected analytic architecture

Teradata

How do you accelerate disease prevention and response? Teradata provides a response to help accelerate public health infrastructure modernization.

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Why should Data Science Embrace Blockchain as its next Big Thing?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data science and blockchain technology are two of the most cutting-edge and disruptive technologies in the world today. Data science analyzes and interprets the raw data to understand how a system works. Blockchain technology is an innovative way of keeping track of […].

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Digital transformation never stops at IBM’s semiconductor plant in Québec

CIO Business Intelligence

Technological innovation is at the heart of IBM Bromont. Founded in 1972 to meet the needs of the Canadian computer market, the plant has evolved over the years to climb the hierarchy of the computer behemoth – setting itself apart from competitors who have fled North America to Asian countries in the last decades. Today, IBM assembles and tests its semiconductor solutions in the quaint town of Bromont, an hour from Montréal, and provides services to clients – notably in the telecommunications i

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What will be the Impact of Blockchain on you?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Source: [link] With all the buzz about cryptocurrencies and blockchain tech, it can get a bit confusing. What is blockchain exactly? How will it affect my banking or credit card transaction? Why should I care? To answer these questions and more, read this […]. The post What will be the Impact of Blockchain on you?

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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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The CIO’s evolving role to address tighter EU sustainability regulations

CIO Business Intelligence

Ways to address and curtail the alarming and increasingly irreversible effects of carbon dioxide emissions are becoming more central to organizational growth, reputation, and culture. At the same time, data centers, technology churn, and all other forms of digitalization are driving electricity consumption, so the pressure on companies to act to reduce their climate footprint is increasing.

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5 recommendations to get your data strategy right

IBM Big Data Hub

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The amazing evolution of technology, cloud and analytics—and what it means for data use — changes quickly, which makes it easy to fall behind if your data strategy and related processes aren’t frequently revisited.

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Insightful analysis: how data empowers your agents

CIO Business Intelligence

Do you know why your customers are getting in touch? Disruptive technologies have made it easier to anticipate customer intent. For example, data-driven AI chatbots can pick off the easier customer queries, while IVR (Interactive Voice response) can automate the process of directing customers to the right people. However, chatbots and virtual assistants can only do so much.

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Empowering Supply Chain Analysts With No-Code Machine Learning

Dataiku

This article was written in collaboration with our friends at Aimpoint Digital.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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What It Takes to Be a Winner in Tech

CIO Business Intelligence

Claire Blythe, VP, global tech and operations at GfK (the AI-powered intelligence platform revolutionizing real-time access to critical knowledge), won Role Model of the Year at Computing ’s recent Women in Tech Excellence awards. We ask for her secrets to success in technology leadership, and how women can rapidly advance their careers in the field.

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Supercharge Your Data Lakehouse with Apache Iceberg in Cloudera Data Platform

Cloudera

We are excited to announce the general availability of Apache Iceberg in Cloudera Data Platform (CDP). Iceberg is a 100% open table format, developed through the Apache Software Foundation , and helps users avoid vendor lock-in. Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ).

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À l’usine de semi-conducteurs d’IBM au Québec, la transformation numérique est permanente

CIO Business Intelligence

L’innovation technologique est au cœur d’IBM Bromont. Fondée en 1972 pour répondre aux besoins du marché canadien en ordinateurs, l’usine a évolué au fil des ans pour grimper les échelons de la hiérarchie du colosse informatique – se démarquant de l’ensemble de ses concurrents qui ont tous fui l’Amérique du Nord vers l’Asie dans les dernières décennies.

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3 Surprising Data Catalog Use Cases for Enterprises

Octopai

Establishing a single, enterprise-wide source of truth? Duh. Streamlining a cloud migration? Yeah, yeah. Increasing data quality and accuracy? Yawwwwwn. Why are data catalog use cases so downright… predictable? If you can rattle off the top five or ten enterprise data catalog use cases in your sleep, this post is an attempt to add a little more color and variety to your data life.

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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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How to Drive Competitive Advantage from Next-Gen Computing

CIO Business Intelligence

We’ve seen accelerated growth and maturation of digital businesses. First came those driven by cloud, mobile, and advanced security. Then came the arrival of 5G, edge, and the Internet of Things (IoT). Now, it’s the metaverse. This rapid growth opens a whole universe of opportunities. But it also introduces a new set of challenges for the enterprise’s IT infrastructure, not least the need for more powerful tools to process workloads and data faster and more efficiently.

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New Age of Data Curation: Challenges, Best Practices, and Solutions

Alation

As important as the responsibilities of a data curator are to self-service analytics, data curation best practices are still in their infancy. The evolution of communications technologies created an environment ripe for evolving the methods and features of the activity of curation. And as new technology allowed for more publishers and created a higher volume of content, information curation thrived.

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Defining data privacy, residency and sovereignty in the cloud

CIO Business Intelligence

Data sovereignty. A simple notion, right? Not so fast. What may appear to be a relatively straightforward concept has instead become an extremely complicated situation due to the numerous regulations defined, countless re-purposed terms used, and the variety of technology capabilities offered. This reality has an impact downstream in the form of significant considerations and ramifications for public and private organizations alike.

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The XaaS trap: ‘Everything as a service’ isn’t anything IT really needs

CIO Business Intelligence

“ Everything as a service ” has become quite buzzy in IT over the past few years. The concept, which for some reason bears the acronym XaaS, just means delivering all of IT’s computing services over the internet, charging for and paying per use. How is this different from “cloud”? Beats me. What XaaS really does, however, is put the final nail in the coffin of what was once an important development in IT architecture, turning it into little more than an IT charge-back algorithm.

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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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Overcoming the Roadblocks to Successful Infrastructure Modernization

CIO Business Intelligence

Every CIO is acutely aware that their IT infrastructure now underpins the success of the business. Scalable, integrated compute, network, and data platforms are the prerequisites to delivering exceptional experiences for customers and staff. The challenge now? For IT to design a modern, cloud-first infrastructure that is integrated, secure and software-driven, all while ‘keeping the lights on’ for the company’s existing business processes.

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Employee wellbeing matters: treat your customers like your staff

CIO Business Intelligence

Digital transformation, AI, data mining and the cloud drive efficiencies and improve customer engagement. An estimated 46% of customer interactions are already automated, with the trend toward automation having further accelerated during the pandemic. . However, as chatbots pick off the simpler queries, contact centre staff are taking the strain having to deal with more complex customer enquiries.

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How Cloud is Disrupting IT Operations

CIO Business Intelligence

Fewer than 11% of enterprises in APAC today use a single cloud. Instead, organizations are settling on multi-cloud, hybrid strategy with interoperability between cloud providers. This APAC trend reflects what’s happening globally; 92% of enterprises now have a multi-cloud strategy in place, according to the Flexera 2021 State of the Cloud report. It’s easy to see why most companies are going down this route: it provides maximum flexibility to pick and choose the best capabilities of each provide

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