Mon.Jul 15, 2019

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The Ultimate List of Popular Machine Learning Use Cases in our Day-to-Day Life

Analytics Vidhya

Overview We are the in middle of a golden age of machine learning applications Here’s a comprehensive list of popular and common machine learning. The post The Ultimate List of Popular Machine Learning Use Cases in our Day-to-Day Life appeared first on Analytics Vidhya.

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The Satisfied Customer - 3 technology trends to get you there

Corinium

The Zendesk Customer Experience Trends Report 2019 found that customer expectations are 46 percent higher than. last year, and 59 percent of agents report that customers’ expectations have risen in the last year.4 Whatever way you look at it, customers want more. But companies are not delivering. Three key technology trends have helped international companies in the Asia Pacific step up and meet the challenge head on.

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AI Simplified: Machine Learning Problem Types

DataRobot

“The unprecedented explosion in the amount of information we are generating and collecting, thanks to the arrival of the internet and the always-online society, powers all the incredible advances we see today in the field of artificial intelligence (AI) and Big Data.” ( Forbes ) Organizations around the world are leveraging this explosion of data to solve some of their biggest business problems.

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Join the app development competition aiming to save lives worldwide

IBM Big Data Hub

Last year, more than 100,000 developers from 156 nations built 2,500+ applications in Call for Code 2018, an IBM initiative to create meaningful change through technology. This year, it's your turn. Join Call for Code 2019 and you’ll have the opportunity to create sustainable software solutions that help people prepare and recover from natural disasters.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.

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How AI is Transforming Banks & Banking

Dataiku

Data has always been the foundation of the banking industry. What has changed in recent years, of course, is the amount of data available and the speed at which it is processed as well as the need to quickly respond to market changes.

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Will the Red Hat acquisition propel IBM to cloud leadership?

Hurwitz & Associates

The dust is settling. IBM now owns Red Hat. What will this mean for IBM’s ability to become a leader in the cloud market? Will market dynamics change with this acquisition or will things remain the same? Of course, no one knows precisely what will happen. But one thing is for certain – a majority of large corporations are still in the process of moving to the cloud so they is a lot at stake for IBM and its competitors.

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Educating Data Analysts at Scale: Cloudera Launches Modern Big Data Analysis with SQL on Coursera

Cloudera

At a time when machine learning, deep learning, and artificial intelligence capture an outsize share of media attention, jobs requiring SQL skills continue to vastly outnumber jobs requiring those more advanced skills. Influential data scientists often point to SQL as the most important yet underrated skill for anyone who works with data. SQL is today—and will remain for the foreseeable future—a vital foundational skill for a wide range of data professionals working in different roles across dif

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GRC 2020: The Approaching Year of Final Demise

John Wheeler

Gartner kicked-off it’s global series of 2019 Security & Risk Management Summit Conferences last month in Washington, DC. It’s here where we receive direct feedback from both technology providers as well as end-users on emerging trends and technologies for security and risk management. More than 3,500 attendees participated in analyst sessions and meetings over 3 1/2 days.

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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

A look at how guidelines from regulated industries can help shape your ML strategy. As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operation

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Should You Own or Rent Your Infrastructure?

Nutanix

In it you’ll learn how these architectures stack up against each other, 10 reasons why one of those clouds is the future of IT, and practical advice you can use to architect a successful cloud infrastructure.

IT 20
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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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10 Signs It's Time to Upgrade your IT Infrastructure

Nutanix

To keep IT out of the datacenter and in the front lines of innovation, businesses can’t rely on “good enough” infrastructure. Whether you’re ready for a powerful, future-forward infrastructure, need a push to get there, or want arguments you can pass along to your team, read on to find out if you’re overdue for an infrastructure revamp.

IT 20
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Should You Own or Rent Your Infrastructure?

Nutanix

In it you’ll learn how these architectures stack up against each other, 10 reasons why one of those clouds is the future of IT, and practical advice you can use to architect a successful cloud infrastructure.

IT 20