Thu.Aug 03, 2023

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Must Know 10 Common Bad Data Cases and Their Solutions

Analytics Vidhya

Introduction In the data-driven era, the significance of high-quality data cannot be overstated. The accuracy and reliability of data play a pivotal role in shaping crucial business decisions, impacting an organization’s reputation and long-term success. However, bad or poor-quality data can lead to disastrous outcomes. To safeguard against such pitfalls, organizations must be vigilant in […] The post Must Know 10 Common Bad Data Cases and Their Solutions appeared first on Analytics

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7 Steps to Mastering Data Cleaning and Preprocessing Techniques

KDnuggets

Are you trying to solve your first data science project? This tutorial will help you to guide you step by step to prepare your dataset before applying the machine learning model.

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Codey: Google’s Generative AI for Coding Tasks

Analytics Vidhya

Introduction Since its introduction, OpenAI has released countless Generative AI and Large Language Models built on top of their top-tier GPT frameworks, including ChatGPT, their Generative Conversational AI. After the successful creation of conversational language models, developers are constantly trying to create Large Language Models that can either develop or assist developers in coding applications. […] The post Codey: Google’s Generative AI for Coding Tasks appeared first on Analytic

Modeling 271
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NASA, IBM team up to build LLMs that can help fight climate change

CIO Business Intelligence

IBM on Thursday said it has partnered with the US space agency NASA to co-develop a foundation large language model based on geospatial data that it claims will help scientists and their organizations fight climate change. The open source model, which will be available on Hugging Face , was developed on IBM’s watsonx.ai platform and trained on Harmonized Landsat Sentinel-2 satellite data (HLS) over one year across the continental US before being fine-tuned on labelled data for flood and burn s

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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All You Need to Know About Sport Analytics in 2023

Analytics Vidhya

Introduction In this dynamic era of sports, the role of sports analysts has never been more crucial. Uncover the latest trends, cutting-edge technologies, and innovative methodologies shaping sports data analysis. From game strategies to athlete performance optimization, sports analytics is revolutionizing how teams and athletes prepare, compete, and succeed.

Analytics 271
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Breaking the Data Barrier: How Zero-Shot, One-Shot, and Few-Shot Learning are Transforming Machine Learning

KDnuggets

Discover the concepts of Zero-Shot, One-Shot, and Few-Shot Learning, which enable machine learning models to classify and recognize objects or patterns with a limited number of examples.

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Improving Fleet Management with Blockchain Technology

Smart Data Collective

As the logistics sector continues to expand and evolve, blockchain technology is becoming an integral part of supply chain procedures. Its implementation offers numerous benefits and applications that streamline operations and enhance efficiency. Also, it enables the compilation of detailed information on container movement, providing real-time and transparent tracking throughout the supply chain.

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Instagram Will Now Label AI-Generated Content

Analytics Vidhya

Popular social media app Instagram is working on a game-changing feature to revolutionize how we perceive content on its platform. App researcher Alessandro Paluzzi has unveiled evidence of upcoming notices that will disclose when AI plays a role in creating posts. This move comes after Meta, Instagram’s parent company, joins forces with other AI giants […] The post Instagram Will Now Label AI-Generated Content appeared first on Analytics Vidhya.

Analytics 269
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Configure cross-Region table access with the AWS Glue Catalog and AWS Lake Formation

AWS Big Data

Today’s modern data lakes span multiple accounts, AWS Regions, and lines of business in organizations. Companies also have employees and do business across multiple geographic regions and even around the world. It’s important that their data solution gives them the ability to share and access data securely and safely across Regions. The AWS Glue Data Catalog and AWS Lake Formation recently announced support for cross-Region table access.

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Check Out Our Exclusive Docker Cheat Sheet!

Analytics Vidhya

Introduction Docker is an open-source platform that simplifies the process of building, shipping, and running applications using containers. Containers allow developers to package applications and their dependencies, making them portable and consistent across different environments. This Docker cheat sheet provides a quick reference guide to essential commands and concepts for effectively working with Docker.

Analytics 269
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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Create an Apache Hudi-based near-real-time transactional data lake using AWS DMS, Amazon Kinesis, AWS Glue streaming ETL, and data visualization using Amazon QuickSight

AWS Big Data

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. Due to the exponential growth of data volume, it has become common practice to replace read replicas with data lakes to have better scalability and performance.

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Meta Unveils AudioCraft: An AI Tool to Turn Text into Audio and Music

Analytics Vidhya

Meta, the tech giant behind social media platforms like Facebook, Instagram, and WhatsApp, has unleashed a new open-source AI tool called AudioCraft. This revolutionary tool promises to empower both professional musicians and everyday users alike, enabling them to transform simple text prompts into captivating audio and music compositions. With its user-friendly interface and diverse capabilities, […] The post Meta Unveils AudioCraft: An AI Tool to Turn Text into Audio and Music appeared f

Analytics 143
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Streamlining compliance with IBM Cloud Infrastructure as Code and a shift-left approach

IBM Big Data Hub

In today’s fast-paced digital landscape, organizations need to ensure their cloud infrastructure is not only efficient and scalable but also compliant with various regulatory standards. IBM Cloud provides a powerful solution with its Infrastructure as Code (IaC) capabilities and the adoption of a shift-left approach to compliance. This blog explores how IBM Cloud’s IaC, when combined with shift-left compliance practices, can help organizations enhance their cloud infrastructure and m

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SQL For Data Science: Understanding and Leveraging Joins

KDnuggets

Learn how to use different joins in SQL and how this helps you in data science.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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How organizations can successfully measure an application health monitoring process

IBM Big Data Hub

Organizations today require every employee, application and process to work in coordination to produce value. Organizations increasingly depend on their technology stack—which comprises the totality of their network interfaces, CPUs, virtual machines, operating system information and installed applications—to deliver consistent service to the end user.

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GraphDB in Action: Navigating Knowledge About Living Spaces, Cyber-physical Environments and Skies 

Ontotext

In this installment of GraphDB In Action we invite you to think of buildings, cyber-physical environments and skies as knowledge spaces built of data. With the research work we’ve picked this time, we walk you through diverse projects that have used Ontotext’s RDF database for knowledge graphs, GraphDB. This has enabled them to meet the requirements coming from heterogeneous data in building automation systems, the interoperability issues critical for design engineering and, last but not least,

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Unlocking the Potential: Open Banking and the Ability to Create Personalised Financial Products in the UK

Data Virtualization

Reading Time: 2 minutes Open banking has promised a revolutionary transformation in the financial sector, aiming to empower consumers with greater control over their financial data. Introduced in the UK in 2018, open banking has the potential to reshape the way individuals interact with. The post Unlocking the Potential: Open Banking and the Ability to Create Personalised Financial Products in the UK appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, A

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Active Sampling: Data Selection for Efficient Model Training

Dataiku

Even for enthusiastic ML practitioners who are convinced that the more data the better, sometimes datasets are just too big for one-shot training. What is the best way to distill a large dataset into a smaller one, keeping relevant information for a specific ML task? We give an introduction to data selection methods and highlight situations where these methods enable ML models to learn better.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Exploring Multithreading: Concurrency and Parallel Execution in Python

Analytics Vidhya

Introduction Concurrency is a key component of computer programming that helps enhance applications’ speed and responsiveness. Multithreading is a potent method for creating concurrency in Python. Multiple threads can run concurrently within a single process using multithreading, enabling parallel execution and effective use of system resources.

Analytics 271
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CIO legend Chris Hjelm on developing future-ready IT leaders

CIO Business Intelligence

Chris Hjelm is a CIO legend with a career spanning Fortune 50 behemoths like Kroger and FedEx, innovative tech companies like Orbitz and eBay, and other high-growth e-commerce and startup businesses. The 2023 recipient of the Ohio CIO of the Year ORBIE Leadership Award is known for his track record of building and heading global technology strategy initiatives to drive innovation and transform legacy operations.

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Bringing the power of watsonx to our clients with IBM Consulting

IBM Big Data Hub

In our hundreds of generative AI engagements with clients around the world, enterprises are trying to balance massive value creation with risk mitigation—and they face a shortage of the necessary “AI for business” skills. Half of CEOs report they are already integrating generative AI into products and services, and 43% say they are using generative AI to inform strategic decisions, according to a recent IBM Institute for Business Value (IBV) CEO study.

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Lay the groundwork now for advanced analytics and AI

CIO Business Intelligence

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices. Comcast is using data analytics to reduce the cost, and improve the efficacy of, its 10P byte of security data to better understand attacks, respond more effectively, and improve its ability to predict future threats.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Three essential steps to protecting your data across the hybrid cloud

IBM Big Data Hub

In a recent trend, many organizations are opting to store their sensitive data in the cloud. Others choose to keep their sensitive data on-premises or even across multiple types of environments. As a result, more and more companies are faced with the challenge of costly data breaches and data democratization. What is data democratization? In essence, data democratization occurs when everyone within an organization has access to sensitive and business-valuable data.