KDnuggets
NOVEMBER 1, 2023
This list of machine learning algorithms is a good place to start your journey as a data scientist. You should be able to identify the most common models and use them in the right applications.
Analytics Vidhya
OCTOBER 28, 2023
Introduction The world of data science has numerous candidates with technical expertise, but only a few excel at problem-solving. When it is about communicating and expressing these skills effectively, some people are great at it naturally, while others develop this ability over time. Fortunately, with the advent of tools such as Tableau, you get access […] The post Top 10 Tableau Projects for Data Science appeared first on Analytics Vidhya.
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CIO Business Intelligence
OCTOBER 30, 2023
Like so many IT leaders, Richard Wiedenbeck wears multiple hats. Yet unlike his peers, Wiedenbeck’s dual roles — the top technology executive as well as the transformation lead at Ameritas — are often at odds. As chief technology officer, Wiedenbeck is driving automation and IT modernization to reduce complexity and technical debt. In his chief transformation officer (CTO) capacity, the current mission is to spearhead an enterprise transformation effort that takes aim at operational efficiency.
Cloudera
OCTOBER 30, 2023
Cloud transformation is ranked as the cornerstone of innovation and digitalization. The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives.
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.
KDnuggets
OCTOBER 30, 2023
A comparative overview of data warehouses, data lakes, and data marts to help you make informed decisions on data storage solutions for your data architecture.
Analytics Vidhya
OCTOBER 30, 2023
Introduction We talk about AI almost daily due to its growing impact in replacing humans’ manual work. Building AI-enabled software has rapidly grown in a brief time. Enterprises and businesses believe in integrating reliable and responsible AI in their application to generate more revenue. The most challenging part of integrating AI into an application is […] The post Mastering AI Optimization and Deployment with Intel’s OpenVINO Toolkit appeared first on Analytics Vidhya.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
David Menninger's Analyst Perspectives
NOVEMBER 1, 2023
Alteryx was founded in 1997 and initially focused on analyzing demographic and geographically organized data. In 2006, the company released its eponymous product that established its direction for what the product is today. In 2017, it went public in an IPO on the NYSE. At the time of the IPO, Alteryx was focusing much of its marketing efforts on the data preparation market, particularly to support Tableau.
CIO Business Intelligence
OCTOBER 30, 2023
In today’s digitally transforming world, time is of the essence. Whether you’re looking to deliver a new product release, fix an issue, or enhance a service, the longer you make customers wait, the worse for your business. As you seek to boost agility and speed your organization’s digital transformation, there are some proven principles you can apply.
Analytics Vidhya
OCTOBER 28, 2023
Introduction The water jug problem, also known as the ‘water-pouring problem’ or ‘die hard problem,’ is a classic challenge in artificial intelligence and computer science. This puzzle revolves around measuring a specific quantity of water using multiple jugs, each with varying capacities. It’s not merely a brain teaser; it’s a fundamental problem frequently employed to […] The post What is the Water Jug Problem in AI?
O'Reilly on Data
OCTOBER 31, 2023
This time of year, everyone publishes predictions. They’re fun, but I don’t find them a good source of insight into what’s happening in technology. Instead of predictions, I’d prefer to look at questions: what are the questions to which I’d like answers as 2023 draws to a close? What are the unknowns that will shape 2024? That’s what I’d really like to know.
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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?
KDnuggets
OCTOBER 31, 2023
AI have ability to reason, and generate functioning code in languages like Python, SQL, and R, they can provide impressive value with Data analysis. But can they replace data analysts?
CIO Business Intelligence
OCTOBER 31, 2023
It’s no secret that banks and fintech companies must meet compliance and regulatory standards that are much stricter than what traditional tech companies are forced to comply with. The question becomes: How do you meet strict regulatory and compliance standards while keeping up with the rapid pace of innovation in technology? As the vice president of enterprise architecture and technology strategy at Discover Financial Services, I think about this question often as we work to design our tech sta
Analytics Vidhya
OCTOBER 30, 2023
Introduction The introduction of artificial intelligence (AI) has resulted in ground-breaking advances in several different industries. The emergence of AI speech generators, which can produce realistic, synthesized human voices, is one example of how far AI has come in imitating human conduct. They depend on deep learning algorithms trained on significant datasets of previously recorded […] The post The Ultimate Guide to AI Voice Generators for 2023 Edition appeared first on Analytics Vid
AWS Big Data
OCTOBER 30, 2023
Spark on AWS Lambda (SoAL) is a framework that runs Apache Spark workloads on AWS Lambda. It’s designed for both batch and event-based workloads, handling data payload sizes from 10 KB to 400 MB. This framework is ideal for batch analytics workloads from Amazon Simple Storage Service (Amazon S3) and event-based streaming from Amazon Managed Streaming for Apache Kafka (Amazon MSK) and Amazon Kinesis.
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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.
KDnuggets
NOVEMBER 3, 2023
Learn how to tune your model’s hyperparameters using grid search and randomized search. Also learn to implement them in scikit-learn using GridSearchCV and RandomizedSearchCV.
CIO Business Intelligence
NOVEMBER 2, 2023
As an infrastructure and security practitioner with nearly 30 years of experience, I’ve witnessed periods of rapid change in the technology landscape. However, I have seen a lot of things stay practically the same. Historically, our jobs as infrastructure and security professionals have involved installing the “plumbing” that ensures organizations remain connected through traditional networking and security practices.
Analytics Vidhya
OCTOBER 31, 2023
Introduction Have you ever thought there would be a system where we can predict the efficiency of electric vehicles and that users can easily use that system? In the world of Electric Vehicles, we can predict the efficiency of electric vehicles with extreme accuracy. This concept has now come into the real world, we are […] The post ZenML for Electric Vehicles: From Data to Efficiency Predictions appeared first on Analytics Vidhya.
Cloudera
NOVEMBER 1, 2023
Elevate your AI applications with our latest applied ML prototype At Cloudera, we continuously strive to empower organizations to unlock the full potential of their data, catalyzing innovation and driving actionable insights. And so we are thrilled to introduce our latest applied ML prototype (AMP) — a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
KDnuggets
NOVEMBER 2, 2023
For production grade LLM apps, you need a robust data pipeline. This article talks about the different stages of building a Gen AI data pipeline and what is included in these stages.
CIO Business Intelligence
OCTOBER 30, 2023
Artificial intelligence (AI) is reshaping our world. In business, this puts CIOs in one of the most pivotal organizational roles today. CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient.
Analytics Vidhya
OCTOBER 31, 2023
Introduction Isn’t it amazing that you can create a copy of a person’s voice using artificial intelligence? Voice cloning software with AI has made possible ideas that otherwise seemed far-fetched. From producing audiobooks to creating content for the entertainment industry, voice cloning has something in store for all. Wondering which software can help create human-like […] The post 10 Best Voice Cloning Software of 2023 appeared first on Analytics Vidhya.
Laminar Security
NOVEMBER 1, 2023
Data is more critical than ever in 2023. It fuels innovation, powers business growth, and can even be monetized. In many ways, it’s even comparable to uranium or oil ! But, many organizations haven’t yet focused on protecting it to the extent that its value deserves and requires. Even if teams are actively seeking to improve their data security, it’s challenging to do so within today’s multi-cloud environments.
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.
KDnuggets
NOVEMBER 2, 2023
Dive into KDnuggets Back to Basics: Getting Started in 5 Steps series to help you master Python, SQL, Scikit-learn, PyTorch, and Google Cloud Platform.
CIO Business Intelligence
NOVEMBER 2, 2023
Cloud costs remain a key concern for IT leaders, who find themselves nearing a crossroads where expenditures for core workloads will need containment to free up spend for innovation. To be sure, enterprise cloud budgets continue to increase, with IT decision-makers reporting that 31% of their overall technology budget will go toward cloud computing and two-thirds expecting their cloud budget to increase in the next 12 months, according to the Foundry Cloud Computing Study 2023.
Analytics Vidhya
OCTOBER 31, 2023
OpenAI is releasing a beta version that promises to completely change the way we communicate with this state-of-the-art AI, which is an exciting development for ChatGPT Plus subscribers. Two significant additions to this much-awaited edition are the capability to upload and analyze files as well as multimodal support, which improves the user experience.
AWS Big Data
NOVEMBER 1, 2023
Amazon Redshift ML allows data analysts, developers, and data scientists to train machine learning (ML) models using SQL. In previous posts, we demonstrated how you can use the automatic model training capability of Redshift ML to train classification and regression models. Redshift ML allows you to create a model using SQL and specify your algorithm, such as XGBoost.
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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.
KDnuggets
OCTOBER 31, 2023
As a data scientist, is it worthwhile leveling up your Python skills? Dive into code comparisons across expertise levels & discover if "good enough" is really enough.
CIO Business Intelligence
NOVEMBER 3, 2023
Burnout is quickly becoming a widespread problem for IT organizations. The wake of the COVID-19 pandemic, mass tech industry layoffs, and the demand to keep pace with constantly evolving technology are all prominent factors contributing to a state of exhaustion among IT pros, according to industry surveys. For IT leaders aware of the impact burnout can have on their staff , the reality of IT exhaustion is complicated further by the fact that burnout isn’t caused by just one thing.
Analytics Vidhya
NOVEMBER 3, 2023
Introduction The field of artificial intelligence has seen remarkable advancements in recent years, particularly in the area of large language models. LLMs can generate human-like text, summarize documents, and write software code. Mistral-7B is one of the recent large language models that support English text and code generation abilities, and it can be used for […] The post From GPT to Mistral-7B: The Exciting Leap Forward in AI Conversations appeared first on Analytics Vidhya.
Smart Data Collective
NOVEMBER 1, 2023
Data analytics offers a number of benefits for growing organizations. One of the biggest advantages is that it can bolster employee productivity. A highly productive team enables an organization to meet its goals and objectives. High-performing teams are usually more engaged in their professional associations and work, increasing the likelihood of producing better results.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
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