Tue.Aug 02, 2022

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Theory Behind the Basics of NLP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Natural Language Processing (NLP) can help you to understand any text’s sentiments. This is helpful for people to understand the emotions and the type of text they are looking over. Negative and Positive comments can be easily differentiated. NLP wanted to make machines understand […].

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Expanding the Analytics Continuum: From Analysis to Action

David Menninger's Analyst Perspectives

I often use the term “analytics” to refer to a broad set of capabilities, deliberately broader than business intelligence. In this Perspective, I’d like to share what decision-makers should consider as they evaluate the range of analytics requirements for their organization.

Analytics 157
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Top Interview Questions & Answers for Apache Oozie

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Apache Oozie is a distributed workflow scheduler for performing and controlling Hadoop tasks. MapReduce, Sqoop, Pig, and Hive jobs can be easily scheduled with this tool. It allows for the sequential enforcement of several difficult tasks to finish a bigger task. It […].

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How AI Software is Changing the Future of the Automotive Industry

Smart Data Collective

Artificial intelligence technology is changing the future of many industries. Global companies spent over $328 billion on AI last year. This figure is expected to grow as more companies recognize the potential and decide to increase the resources they dedicate to machine learning and predictive analytics tools. The automotive industry is among those investing in AI the most.

Software 124
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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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Explainable AI using OmniXAI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the modern day, where there is a colossal amount of data at our disposal, using ML models to make decisions has become crucial in sectors like healthcare, finance, marketing, etc. Many ML models are black boxes since it is difficult to […]. The post Explainable AI using OmniXAI appeared first on Analytics Vidhya.

Finance 287
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5 tips for turning around a blow-up meeting

CIO Business Intelligence

A few years back, I wrote an article for CIO on how to handle the blow-up meeting and create breakthroughs. Now almost three years later, I share one of my blow-up meeting moments in my new book, Digital Trailblazer: Essential Lessons to Jumpstart Transformation and Accelerate Your Technology Leadership. In this short excerpt from the book, published with permission from Wiley, I show how these blow-up moments often happen when you least expect them: Charles does his demo at the meeting, and I r

B2B 119

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Preparing for a Data Analyst Interview

KDnuggets

The interview process for the job can sometimes be a bit daunting. However, with the right knowledge and preparation, you can make sure you ace the interview and land your dream job. Read this summary of DataCamp’s full article on how to prepare for a data analyst interview, presenting some of the key points. .

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Cloud infrastructure sales rise as Microsoft closes in on AWS

CIO Business Intelligence

Fueled by enterprise demand for data analytics , machine learning , data center consolidation and cloud-native app developmen t, spending on cloud infrastructure services jumped 33% year on year to $62.3 billion in the second quarter, according to Canalys. The Singapore-based market research firm said its latest cloud spending research, released Tuesday, shows that demand for cloud services remains strong despite a global economy suffering from inflation, rising interest rates and recession.

Sales 116
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Trust in AI is Priceless

KDnuggets

Many machine learning models fail to deliver. Sadly, it’s often due to a lack of focus on data quality.

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How to Master the Art of Collaboration

CIO Business Intelligence

How important is trust to the art of collaboration? . If collaboration is really going to deliver value, people must trust one another. To achieve this trust, businesses need a safe environment in which everyone feels comfortable being transparent and honest. All of us make mistakes. It’s important to see mistakes as part of a learning process. Businesses must end any blame culture that can exist between departments and among teams.

Marketing 115
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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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Integrate Database Archiving and Recovery

TDAN

Data archiving is an important aspect of data governance and data management. Not only does archiving help to reduce hardware and storage costs, but it is also an important aspect of long-term data retention and a key participant in regu­latory compliance efforts. When long-term data retention is imposed on your data—anything more than a couple […].

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A Tale of Two CIO Priorities: It’s the Best Security for IT Infrastructure, It’s the Worst for Cyber Criminals

CIO Business Intelligence

A substantial shift has happened in the enterprise storage industry over the last 12 months that has changed the dialogue about storage. In past years, the first conversations with enterprise storage buyers were about cost efficiency and performance. However, today, the two most important things that come up first in storage conversations are cybersecurity and delivery time.

IT 98
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Decision Trees vs Random Forests, Explained

KDnuggets

A simple, non-math heavy explanation of two popular tree-based machine learning models.

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5 Secrets to Outcome-Driven Business Speed

CIO Business Intelligence

It’s a common problem for technology departments, in all businesses, to be running in multiple directions, trying to manage multiple projects at once, and struggling to complete the myriad outcomes targeted. This is a natural development of modern business: we all face huge demands to be continually at the cutting edge of change. . Often, within organizations, when we struggle to deliver the changes we want to see, we simply throw more resources at the problems.

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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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Domain-Driven Development: Part 2

TDAN

Canonical Data Models and Overlapping Connections In the previous article, I introduced and explained the approach to application development called ‘Domain-Driven Development’ (or DDD), explained some of the Data Management concerns with this approach, and described how a well-constructed data model can add value to a DDD project by helping to create the Ubiquitous Language […].

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Applied Energy Services doubles down on data quality

CIO Business Intelligence

Energy and carbon neutrality are hot topics of conversation today due to the rapidly escalating costs consumers are paying for gasoline and electricity, and increasing concerns about global warming, climate change, and the future of the planet. As a technology executive for a leading energy producer, Alejandro Reyes shares those concerns, not only because he also feels the pain at the pump, but also because many people may view energy companies as a source of the problem.

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Scaling AI Safely — What Role Does a Data Scientist Play?

Dataiku

Most of us are well aware of the problems that can arise in data as a result of human bias — disparate outcomes, unfair policy, missed opportunities, the list goes on. When the power of AI is applied to sensitive situations, we start to worry about the danger that a mix of machine learning and bias can produce. So, what’s there to do about it?

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FanRuan Ranks First in China’s Business Intelligence Software Market for 5 Consecutive years

FineReport

IDC (the International Data Corporation) has recently released the “China’s Business Intelligence Software Market Tracking Report in the Second Half of 2021” The report shows that for the whole year of 2021, the total market share of the top 10 vendors in China’s business intelligence market accounted for 66.2%, among which FanRuan ranked first with a market share of 17.5%.

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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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The Role of Artificial Intelligence in Data Privacy

TDAN

While data privacy concerns aren’t at the forefront of all consumers’ minds, it’s safe to say that many people are worried about how brands, governments, and organizations use, access, and safeguard their data. In fact, a recent report from GWI found that 32% of Gen Z, 31% of Millennials, 34% of Gen X, and 40% […].

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Why Secure Your IoT Data With a Zero-Trust Strategy?

CDW Research Hub

If you’ve felt like new reports of data hacks and security breaches are becoming more common, it’s not your imagination. In fact, many organizations have begun adopting zero-trust IoT security strategies to protect their IoT data from potential breaches. The recent influx of supply chain attacks and cyberattacks via Internet of Things (IoT) technology has even prompted the government to mandate that all government agencies meet specific zero-trust standards by the end of the fiscal year 2024.

IoT 52
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Zen and the Art of Data Maintenance: All Data is Suffering (Part 2)

TDAN

In part 1 of this series, I shared how our reactions to data can cause a great deal of suffering and discussed the following 3 principles to identify how this suffering can occur as well as ways to alleviate suffering: Attachment is a root cause of suffering ‘Not knowing’ has unlimited possibilities Always being ‘right’ […].

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Press one for call center modernization

IBM Big Data Hub

Like countless other industries and departments, customer support has undergone a massive transformation. Today I am excited to share more about how IBM is expanding its collaboration with NICE, launching a new integration that allows users to connect AI-powered virtual agents with their call center in a matter of minutes. It sounds funny to talk about “the evolution of the contact center” when so few of us give customer support a second thought, until it’s a nightmare.

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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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The Art of Lean Governance: Eliminating Waste Across the Data Factory

TDAN

The time wasted spent collecting and validating data can approach 80% of the total effort for managing data. This estimate was shared by several speakers at the DGIQ 2022 conference in San Diego. We had previously estimated this “waste tax” to be in the 20-30% range. No matter what the actual numbers bear out, this […].

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Success with AI Made Easy: DRU Launches AutoML Foundations Series

DataRobot Blog

DataRobot’s AI Cloud helps businesses around the world leverage data to solve their most challenging problems. But the terms “ artificial intelligence ” and “ machine learning ” are not easily understood and can be used to describe a range of data-related work and skills. Because there is such a broad range in AI maturity and skill, DataRobot University (DRU) has made changes to provide greater flexibility.

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An Introduction to Graph Neural Networks

KDnuggets

The article contains all the concepts to understand Graph Neural Networks(GNNs).

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Making the Case for a ‘Technologist as a Service’ Model

CIO Business Intelligence

For decades, third-party IT service arrangements have generally been structured one of two ways. There are the “break-fix” scenarios where an outside team is on call, either physically or virtually, to patch up whatever goes on the fritz. Then there are the much more involved “consultative” relationships where an outside team gives high-level strategic advice and may (or may not) stay on to carry out a big-ticket project.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Avoiding a Data Catastrophe

TDAN

Have you ever watched the Science channel show called, Engineering Catastrophes? It’s a fascinating show exemplifying how engineering projects of all sizes can be brought down due to a single (and sometimes, tiny) engineering design flaw. There are plenty of reasons for the disaster—failure to account for environmental factors, rushed or missed work, misjudgments, lack […].

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SwipeGuide’s CTO on data and the human element in Industry 4.0

CIO Business Intelligence

An alarm sounds on the factory floor: a critical piece of equipment has malfunctioned. An engineer approaches the machine, scans its QR code, and immediately accesses visual step-by-step instructions for fixing the issue created by the people who work with the same machines every day. This is SwipeGuide , a B2B cloud-based SaaS platform that captures and scales operational knowledge, helping teams in industrial environments to create, improve, and share instructions and standard operating proced

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How to Build a Customer Centric Business: The Complete Guide

Alation

Everyone wants to feel heard and understood. As a company, this applies to how your customers feel about your brand. Are you listening to what they need? Are you responding to these needs as you develop new products and services? Moreover, what’s the customer journey like, as they experience it? Modern businesses may have hundreds of touchpoints across a customer’s lifetime.

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Global RPA software sales forecast to jump this year

CIO Business Intelligence

Driven by the ongoing need for companies to automate repetitive tasks, global RPA (robotic process automation) software revenue is expected to reach $2.9 billion in 2022, up by 19.5% from last year, according to a market research report by Gartner. North America will account for the largest revenue share at 48.5%, followed by Western Europe and Japan at 19% and 10% respectively, Gartner said.

Software 122
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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.