Wed.Nov 23, 2022

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4 Artificial Intelligence Approaches to Watch Out For

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Artificial intelligence (AI) is the most dynamic stream in the world. Humans have always been curious about their abilities to predict, understand, act, and make decisions. Now, we can learn everything about it and create intelligent entities with this universal field of […].

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How Much Math Do You Need in Data Science?

KDnuggets

There exist so many great computational tools available for Data Scientists to perform their work. However, mathematical skills are still essential in data science and machine learning because these tools will only be black-boxes for which you will not be able to ask core analytical questions without a theoretical foundation.

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Creating and Managing DynamoDB Tables using AWS CLI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] Introduction The AWS Command Line Interface (CLI) is a centralized management tool for managing AWS services. Through CLI, users can control services manually or automate them with powerful scripts. With this one tool, it can handle multiple AWS services from the […].

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5 pitfalls to avoid when partnering with startups

CIO Business Intelligence

Enterprise technology leaders are actively partnering with startups to help make their organizations more innovative and agile. Co-creating with startups can help kickstart innovation , provide CIOs with access to hard-to-find skills in emerging technologies, and round out digital transformational strategies. Their unique focus and approaches to innovation can make startups a highly advantageous partner in delivering business value in ways traditional vendors can’t offer.

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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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Data Lineage: Case Studies of Data-Driven Businesses

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data lineage is the process of analyzing the path of the data and how it is involved in different methods with time. Many businesses and companies use it to get an idea of the source, data pathway, and how the data is […]. The post Data Lineage: Case Studies of Data-Driven Businesses appeared first on Analytics Vidhya.

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What is enterprise architecture? A framework for transformation

CIO Business Intelligence

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. EA helps organizations structure IT projects and policies to achieve desired business results, to stay agile and resilient in the face of rapid change, and to stay on top of industry trends and disruptions using architecture principles and practices, a process also known as enterprise architectural

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Machine Learning is Invaluable for Mobile App Testing Automation

Smart Data Collective

Machine learning technology has transformed countless fields in recent years. One of the professions affected the most by advances in machine learning is mobile app development. The market for mobile artificial intelligence is projected to be worth nearly $9.7 billion within the next five years , since machine learning helps developers create powerful new apps.

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5 Most Challenging Interview Questions on TensorFlow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: totaljobs.com Introduction TensorFlow is one of the most promising deep learning frameworks for developing cutting-edge deep learning solutions. Given the popularity and extensive usage of TensorFlow in the industry to automate processes and create new tools, it is imperative to have a […].

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10 Amazing Machine Learning Visualizations You Should Know in 2023

KDnuggets

Yellowbrick for creating machine learning plots with less code.

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Developing Large Power BI Datasets – Part 2 – Partitioning

Paul Turley

Partitioning Large Tables Table partitioning has long been an important task in semantic model design using SQL Server Analysis Services. Since SSAS Tabular and Power BI models are built on top of the SSAS architecture, the pattern of partitioning remains the same as it has been for twenty years. However, the specific methods for implementation have been fine-tuned and improved.

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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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The Benefits of a Hub-and-Spoke Integration Model

CDW Research Hub

Organizations today use hundreds of applications and a mix of new and legacy technologies to keep business running. Integrating applications and systems with relevant data is key for creating a seamless customer experience and provides users with a common layer to monitor business activity and piece together valuable data insights. Because they are not built to scale, dated integration solutions such as point-to-point integration models cannot keep up with the demands of enterprises that rely on

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A healthcare CDIO’s unexpected path to interim CEO

CIO Business Intelligence

Andy Callow was appointed Group CDIO at the University Hospitals of Northamptonshire in December 2020, and has spent the last three years unifying the Kettering and Northampton hospitals through one digital strategy, taking strides to adopt cloud, build an RPA Centre of Excellence, and roll-out AI proof-of-concepts. Then the call came that CEO Simon Weldon was leaving temporarily for health reasons, and looking in-house for his replacement.

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Linux for Data Science Cheatsheet

KDnuggets

KDnuggets is back with another exclusive cheatsheet, this time sharing a Linux quick reference for data science.

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What You Need to Know About Digital Innovation Now

CIO Business Intelligence

Don’t miss CIO’s Future of Digital Innovation Summit and Awards Canada, happening on November 29-30 produced by IDC and CIO, in partnership with TECHNATION. Registration is complimentary , and attendees will have the opportunity to gain the latest knowledge in innovation from experts in a broad range of industries. The conference will kick off on November 29 with a keynote from Lee-Anne McAlear, Program Director, the Centre of Excellence in Innovation Management, York University.

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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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Happy Thanksgiving! Unless You’re a Turkey…

Timo Elliott

Some predictive analytics for Thanksgiving… Past performance is not indicative of future results!

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The CIO and CISO – Leadership and collaboration conversation

CIO Business Intelligence

George Al Koura, CISO Ruby, discusses his career and leadership journey, working with vendors, and building collaboration with teams.

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Writing Glue Code Is Slowing You Down

Dataiku

Data scientists are among the most highly coveted and prized resources at leading companies today, and it’s no wonder why. Their unique combination of expertise across business, technology, and mathematics domains is what enables them to analyze and interpret data in order to create models, data products, and insights that improve business outcomes.

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Why endpoint security will be a renewed priority for businesses of all sizes in 2023

CIO Business Intelligence

A recent spate of high-profile security breaches at some of the largest enterprises in Australia has reminded everyone of the importance of security. Cyber crime is estimated to cost the Australian economy around $42 billion per year, and that number is only increasing. The biggest challenge when it comes to cyber crime is that there are so many different security risks to manage.

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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 data maturity?

Data Insight

Even though data is so critical today, many businesses need help becoming adept at extracting value from their data.

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The Future of Consulting

CIO Business Intelligence

The Consulting industry, over the last few decades, has been at the forefront of helping firms navigate their key Enterprise Transformation initiatives. The industry has typically helped clients navigate these transformations through an optimal combination of proprietary frameworks, IP, tools, and a team of consultants trained with in-house consulting methodologies.