Sat.Apr 02, 2022 - Fri.Apr 08, 2022

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Innovative Applications of Machine Learning in Healthcare Domain

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Nowadays, Machine learning is being used in various areas in the health business, including the development of improved medical processes, the management of patient records and data, and the treatment of chronic diseases. Healthcare firms may use machine learning to meet rising demand, […].

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‘The key is the cloud’: How to keep up with the speed of innovation

CIO Business Intelligence

At DISH Network , cloud-adoption strategies vary by when the parts of its business started – from those born in the cloud to legacy sectors deploying cloud on an opportunistic basis. But one thing is clear to Atilla Tinic, the company’s EVP and CIO: “I do think the key is the cloud.” He added: “The strategy around cloud is not ROI on a case-by-case basis.

B2B 131
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Naïve Bayes Algorithm: Everything You Need to Know

KDnuggets

Naïve Bayes is a probabilistic machine learning algorithm based on the Bayes Theorem, used in a wide variety of classification tasks. In this article, we will understand the Naïve Bayes algorithm and all essential concepts so that there is no room for doubts in understanding.

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The 7 Myths of MLOps

Dataiku

MLOps is a term that is gaining a lot of traction, but definitions of the concept remain blurry and many misleading myths are circulating. In “The 7 Myths of MLOps,” a recent Dataiku Product Days session, we have aimed to set the record straight with some reality checks and myth-busting. This blog recaps the useful information revealed in the session.

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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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Building Vehicle Counter System Using OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to build a vehicle counter system using OpenCV in Python using the concept of Euclidean distance tracking and contours. In the last article, we talked about object detection in OpenCV using haar cascades, if you haven’t […]. The post Building Vehicle Counter System Using OpenCV appeared first on Analytics Vidhya.

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Supply chain woes? Analytics may be the answer

CIO Business Intelligence

Supply chain woes continue to plague organizations around the world and in virtually all sectors. For some, leveraging data and analytics tools is proving to be an effective way to address the challenges. Disruptions to global supply chains due to the COVID-19 pandemic have been significant. As consulting firm Deloitte notes, the free movement and operation of people, raw materials, finished goods, and factory operations have been stymied.

Analytics 145

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Search Engine Marketers Without Data Analytics Knowledge Are Obsolete

Smart Data Collective

Data analytics has led to a huge shift in the marketing profession. A large part of this is due to advances in digital marketing. Digital marketers have an easier time compiling data on customer engagements, because most behavior and variables can be easily tracked. This is particularly true for search engine marketers. Earlier this year, VentureBeat published an article titled How data science can boost SEO strategy.

Marketing 124
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Population Health Analytics with AWS HealthLake and QuickSight

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Healthcare Data using AI Medical Interoperability and machine learning (ML) are two remarkable innovations that are disrupting the healthcare industry. Medical Interoperability is the ability to integrate and share secure healthcare information promptly across multiple systems. Medical Interoperability along with AI & Machine Learning […].

Analytics 397
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How Scotiabank is implementing AI for greater customer retention

CIO Business Intelligence

As one of Canada’s Big Five banks, the Bank of Nova Scotia is taking an approach to data, analytics, and AI intended to better understand and serve customers, said Grace Lee, its chief data and analytics officer. Her charter is to advance business growth, customer experience, and operational efficiency through the use of AI, machine learning, and data-driven insights at the bank better known as Scotiabank.

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Data Science Interview Guide – Part 1: The Structure

KDnuggets

According to one source, the types of questions that will generally be asked in data scientist interviews can be broken down into five categories. Let's take a closer look.

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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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5 Hardware Accelerators Every Data Scientist Should Leverage

Smart Data Collective

The data science profession has become highly complex in recent years. Data science companies are taking new initiatives to streamline many of their core functions and minimize some of the more common issues that they face. They are using tools like Amazon SageMaker to take advantage of more powerful machine learning capabilities. Amazon SageMaker is a hardware accelerator platform that uses cloud-based machine learning technology.

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Data Science Blogathon 19th Edition

Analytics Vidhya

“The World is One Big Data Problem” – Andrew McAfee. Analytics Vidhya is back with its 19th Edition of the Data Science Blogathon which is live from TODAY! So the wait is over, click here to Register Now! Introduction The Data Science Blogathon by Analytics Vidhya began with a simple mission: To bring together […]. The post Data Science Blogathon 19th Edition appeared first on Analytics Vidhya.

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Web accessibility emerges as a top CIO priority

CIO Business Intelligence

The list of tasks facing enterprise CIOs today is so long that it can be tempting to overlook the little things—like making sure the alt text on your website works correctly. But CIOs increasingly ignore such details at their peril: 11 lawsuits are filed every day in U.S. courts over website inaccessibility. And 412 of the top 500 internet retailers have been party to at least one lawsuit over the last four years alleging that their websites discriminate against users with disabilities.

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4 Factors to Identify Machine Learning Solvable Problems

KDnuggets

The near future holds incredible possibility for machine learning to solve real world problems. But we need to be be able to determine which problems are solvable by ML and which are not.

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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 Data Methods Can Businesses Invest In to Get Better Consumer Results?

Smart Data Collective

There is no doubt that big data is important in many organizations. Over 65% of large companies invested over $50 million in big data in 2020. That figure is growing faster in recent years. Data. The word gets used so often that it’s become vague. You are talking about data, sure, but what kind of data ? Finding the right data sets and knowing how to use them is key to any data implementation strategy.

Big Data 110
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Recurrent Neural Networks: Digging a bit deeper

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the former article, we looked at how RNNs are different from standard NN and what was the reason behind using this algorithm. In this article we will dig a bit deeper into RNN, we will see the mathematical details and try to […]. The post Recurrent Neural Networks: Digging a bit deeper appeared first on Analytics Vidhya.

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The pandemic pivot: 5 key leadership lessons that will last

CIO Business Intelligence

Two years after a global pandemic first shut down the world — and IT departments took a leading role in maintaining businesses’ survival — the IT function has been changed forever. As the dust has settled, many tech leaders have found that changes they were forced to make to their work strategies, leadership styles, and team structures have turned out to be team-transforming epiphanies that will endure going forward.

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The Complete Collection Of Data Repositories – Part 1

KDnuggets

Check out the collection of the best data repositories on agriculture, audio, biology, climate, computer vision, economics, education, energy, finance, and government.

Finance 148
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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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AI Technology is Essential for Online Fraud Prevention

Smart Data Collective

Online fraud is growing at a frightening pace. Many cybercriminals believe they can con eCommerce stores out of their cash and never be caught because they are operating over the internet. One particular scam called fraudulent Buy Online Return In-Store (BORIS) is thought to have cost retailers a staggering $1.6 billion last year. However, new advances in AI are changing this situation.

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Exploratory Data Analysis (EDA) in Python

Analytics Vidhya

Introduction Exploratory Data Analysis is a method of evaluating or comprehending data in order to derive insights or key characteristics. EDA can be divided into two categories: graphical analysis and non-graphical analysis. EDA is a critical component of any data science or machine learning process. You must explore the data, understand the relationships between variables, […].

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Corporate defenses must step up to meet a changing geopolitical landscape

CIO Business Intelligence

When the world learned that Russia had invaded Ukraine in late February, outside observers expected a heavy dose of cyberattacks to play out in the invasion’s tactics. But to many people’s surprise, the cyber-attacks have been limited and targeted rather than widespread. Russia certainly has demonstrated its cyber power and capabilities in the past; a key example was the 2016 incident in which Russian hackers took out Ukraine’s power grid. .

Risk 119
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Data Ingestion with Pandas: A Beginner Tutorial

KDnuggets

Learn tricks on importing various data formats using Pandas with a few lines of code. We will be learning to import SQL databases, Excel sheets, HTML tables, CSV, and JSON files with examples.

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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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Finding the Signal in the Noise: Talking Racing Strategy with McLaren Racing’s Randy Singh

DataRobot Blog

F1 is headed Down Under next week for the first time since 2019. The Australian Grand Prix – taking place in Melbourne’s Albert Park Circuit – will showcase a new track layout and will be a homecoming for Australia’s own, McLaren Racing driver Daniel Ricciardo. The track changes, which Ricciardo consulted on , are the first modifications since 1996 and are aimed at reducing lap times, increasing speeds, and bringing the cars closer together.

Strategy 105
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An Introduction to Creating Stylized Sketches of Faces using JojoGAN

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Style transfer is a developing field in neural networks and it is a very useful feature that can be integrated into social media and AI apps. Several neural networks can map and transfer image styles to an input image as per the training […]. The post An Introduction to Creating Stylized Sketches of Faces using JojoGAN appeared first on Analytics Vidhya.

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SAP at 50: The software group is at a crossroads

CIO Business Intelligence

These days, the town of Walldorf is not really in the mood to celebrate — even though the managers of SAP, which is headquartered there, have every reason to do so. After all, the software giant can look back on 50 years of successful company history. On April 1, 1972, five former IBM employees — Claus Wellenreuther, Hans-Werner Hector, Klaus Tschira, Dietmar Hopp and Hasso Plattner — launched SAP Systemanalyse und Programmentwicklung GbR.

Software 116
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Neural Network Optimization with AIMET

KDnuggets

Using AIMET, developers can incorporate advanced model compression and quantization algorithms into their PyTorch and TensorFlow model-building pipelines for automated post-training optimization, as well as for model fine-tuning.

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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.

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Space-Based AI Shows the Promise of Big Data

Cloudera

This blog post was written by Elizabeth Howell, Ph.D as a guest author for Cloudera. . At a distance of a million miles from Earth, the James Webb Space Telescope is pushing the edge of data transfer capabilities. The observatory launched Dec. 25 2021 on a mission to look at the early universe, at exoplanets, and at other objects of celestial interest.

Big Data 105
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Ways to Calculate Hashing in Data Structure

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hashing is the process of mapping keys and values into a hash table by using a hash function. It makes elements more accessible faster. The efficiency of the hash function determines how well it can handle the mapping. When you have 20000 […]. The post Ways to Calculate Hashing in Data Structure appeared first on Analytics Vidhya.

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How to Bring Presentation Data to Life with Powered Template

Smart Data Collective

We have talked in the past about the importance of data visualization in business. One study by Robert Horn at Stanford found that 64% of participants made a decision immediately after watching a presentation with an overview map. However, many companies are struggling to figure out how to use data visualization effectively. One of the ways to accomplish this is with presentation templates that can use data modeling.

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DBSCAN Clustering Algorithm in Machine Learning

KDnuggets

An introduction to the DBSCAN algorithm and its implementation in Python.

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Your Expert Guide to CX Orchestration & Enhancing Customer Journeys

Speaker: Keith Kmett, Principal CX Advisor at Medallia

Join Keith Kmett, Principal CX Advisor, in this new webinar that will focus on: Understanding CX Orchestration Fundamentals: Gain a solid understanding of what CX orchestration is, its significance in the customer experience landscape, and how it plays a crucial role in shaping customer journeys. This includes the key concepts, strategies, and best practices involved in CX orchestration. 🔑 Connection to Customer Journey Maps: How to effectively integrate customer journey mapping into the