Smart Data Collective
JUNE 14, 2022
Big data technology is disrupting almost every industry in the modern economy. Global businesses are projected to spend over $103 billion on big data by 2027. While many industries benefit from the growing use of big data, online businesses are among those most affected. There are many practical benefits of using big data to grow your online business.
Analytics Vidhya
JUNE 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Quechua In this article, we will create an app for translating Spanish Audio transcriptions to Quechua. We will leverage the Gradio Python package for creating a web interface for the model and deploy our app on Hugging Face Spaces. With the advent […]. The post Translate Spanish Audio transcriptions to Quechua appeared first on Analytics Vidhya.
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Rocket-Powered Data Science
JUNE 17, 2022
I recently attended the Splunk.conf22 conference. While the event was live in-person in Las Vegas, I attended virtually from my home office. Consequently I missed the incredible in-person experience of the brilliant speakers on the main stage, the technodazzle of 100’s of exhibitors’ offerings in the exhibit arena, and the smooth hip hop sounds from the special guest entertainer — guess who ?
KDnuggets
JUNE 13, 2022
Gain a beginner's perspective on artificial neural networks and deep learning with this set of 14 straight-to-the-point related key concept definitions.
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Smart Data Collective
JUNE 17, 2022
Global companies spent over $2.83 billion on marketing analytics in 2020. This figure certainly increased in light of the pandemic, as digitization accelerated. Marketing has always been about numbers. Now, those numbers are highly refined, narrowed by algorithms and databases, and processed by people with advanced degrees. Indeed, data and marketing are a match made in heaven, taking much of the guesswork out of a profession that once was as much about luck as it was about creativity.
Analytics Vidhya
JUNE 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction The Titanic ship disaster is one of the most infamous shipwrecks. The luxury cruiser, touted to be one of the safest when launched, sank thousands of passengers due to an accident with an iceberg. Out of 2224 passengers, 1502 passengers died due to […]. The post How ML with Titanic Dataset Could be Misleading?
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
JUNE 13, 2022
Learn essential Git commands for versioning and collaborating on data science projects.
Smart Data Collective
JUNE 16, 2022
Data science is both a rewarding and challenging profession. One study found that 44% of companies that hire data scientists say the departments are seriously understaffed. Fortunately, data scientists can make due with fewer staff if they use their resources more efficiently, which involves leveraging the right tools. There are a lot of important queries that you need to run as a data scientist.
Analytics Vidhya
JUNE 12, 2022
This article was published as a part of the Data Science Blogathon. In this article, we will build an app for Speaker Verification using UniSpeech-SAT and X-Vectors. We will leverage the Gradio Python package for creating a web interface for the model and deploy our app on Hugging Face Spaces. Introduction on Speaker Verification Have you ever […].
CIO Business Intelligence
JUNE 16, 2022
Genius, opined Thomas Edison, who had firsthand knowledge of the subject, consists of 1% inspiration and 99% perspiration. Call it the “Edison Ratio.”. While one might haggle over the exact numbers, the Edison Ratio provides a useful benchmark for what it takes to make an inspired idea real. And it cuts straight to a key reason organizations often fail at innovation: They overemphasize innovation’s need for new ideas while remaining oblivious to — or eternally optimistic about — the volume of wo
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
KDnuggets
JUNE 17, 2022
In this tutorial, we are going to list some of the most common algorithms that are used in supervised learning along with a practical tutorial on such algorithms.
Smart Data Collective
JUNE 16, 2022
Analytics is becoming more important than ever in the world of business. Over 70% of global businesses use some form of analytics. This figure will rise as globalization, supply chain challenges and other factors increase competitiveness. This is an important year for enterprises keeping in view that most global industries are recovering from the pandemic horror, and the era of web 3.0 is at the doorstep.
Analytics Vidhya
JUNE 17, 2022
This article was published as a part of the Data Science Blogathon. Introduction on MLIB In this MLIB article, we will be working to predict the insurance charges that will be imposed on a customer who is willing to take the health insurance, and for predicting the same PySpark’s MLIB library is the driver to […]. The post Insurance Charges Prediction Using MLIB appeared first on Analytics Vidhya.
CIO Business Intelligence
JUNE 15, 2022
By Jeroen Kleen and Gerry Nolan. If you recently integrated cloud technologies into your IT environment, chances are your team spent many months working behind the scenes, diligently setting up the implementation to generate quick gains for the business. They likely scoped out projects that can benefit from the newfound agility and migrated some early or pilot workloads.
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The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
KDnuggets
JUNE 15, 2022
An introduction to the generative adversarial network model DoppelGANger, and how you can use a new open-source PyTorch implementation of it to create high-quality synthetic time-series data.
BA Learnings
JUNE 14, 2022
Selecting vendors for software implementation projects can seem like a complicated process but it doesn’t have to be with the right tips in mind. This article discusses tips for vendor selection you should know about: Ensure your requirements are cleared ad devoid of ambiguities: Documented requirements will guide the vendors in determining their suitability to respond and should as much as possible, reflect what is to be achieved during the implementation.
Analytics Vidhya
JUNE 13, 2022
This article was published as a part of the Data Science Blogathon. Introduction on ETL Pipeline ETL pipelines are a set of processes used to transfer data from one or more sources to a database, like a data warehouse. Extraction, transformation, and loading are three interdependent procedures used to pull data from one database and place […].
CIO Business Intelligence
JUNE 15, 2022
Moving into the digital 2020s, enterprises are contemplating the adoption of a new generation of collaborative, composable, and cloud-based enterprise resource planning (ERP) technologies, motivated by a stubborn pandemic, insecure supply chains, transient workforces, and other factors. An overwhelming 94% of organizations worldwide are embracing a next-generation ERP strategy that involves migrating to cloud platforms and adopting high-end analytics such as artificial intelligence to overcome t
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GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
KDnuggets
JUNE 14, 2022
The guide to writing production-ready Python code for machine learning projects.
Smart Data Collective
JUNE 14, 2022
Data scientists need to have a number of different skills. In addition to understanding the logistics of networking and a detailed knowledge of statistics, they must possess solid programming skills. When you are developing big data applications, you need to know how to create code effectively. You will need to start by learning the right programming languages.
Analytics Vidhya
JUNE 11, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Snowflake Architecture This article helps to focus on an in-depth understanding of Snowflake architecture, how it stores and manages data, as well as its conceptual fragmentation concepts. By the end of this blog, you will also be able to understand how Snowflake […].
CIO Business Intelligence
JUNE 13, 2022
CIOs are used to rapid change. New technologies hit the market, existing ones evolve, business needs change on a dime, staff comes and goes. All that together, though, is nothing compared to the turbulence that CIOs are seeing today. IT leaders are now contending with continued pandemic-related disruptions, geopolitical instability, and economic volatility — on top of those usual factors.
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ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
KDnuggets
JUNE 16, 2022
In this article, we outline 15 books on topics ranging from the technical to the non-technical, to help you improve your understanding of end-to-end best practices related to data.
Smart Data Collective
JUNE 16, 2022
Businesses have been using websites to reach customers for nearly 30 years. The first websites predated modern analytics technology. Google Analytics wasn’t launched until 2005. However, advances in analytics over the past decade have made it easier for companies to create quality websites. This has in turn increased the demands of customers using modern websites.
Analytics Vidhya
JUNE 17, 2022
This article was published as a part of the Data Science Blogathon. Introduction Every day billions of people use the World Wide Web to read, write and share information. The web has changed over the past few years, and its current applications are nearly unrecognizable from its early days. This evolution of the web is […]. The post Web 3.0: All You Need to Know!
CIO Business Intelligence
JUNE 16, 2022
Only about 14% of transformation efforts succeed at all and only 3% of those successes are sustained, reports a major analyst firm. A major reason for this overwhelming lack of success is the failure to establish an operational model aligned with a world in which strategic pivots need to happen quickly. Value Stream Management (VSM) has become increasingly prevalent as the best operational model for those few organizations that have successfully transformed.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
KDnuggets
JUNE 16, 2022
Although dashboards have become quite an integral part of performance tracking in organizations, implementing them can be tricky even for the most experienced analysts. This guide walks you through the steps that will allow you to create easily updatable, automated and scalable Power BI / Tableau dashboards.
Smart Data Collective
JUNE 15, 2022
Artificial intelligence has become a very important technological development in the life sciences. Michel L. Leite and his colleagues at Universidade Católica de Brasília addressed this phenomenon in their study Artificial intelligence and the future of life sciences. AI is helping advance the life sciences in many ways, which include improving the outcomes of clinical trials and making certain features more accessible to both researchers and patients.
Analytics Vidhya
JUNE 17, 2022
This article was published as a part of the Data Science Blogathon. Introduction SQLAlchemy is a library of Python or a Database Toolkit that consists of comprehensive tools to work with databases. It has two portions i.e., The Core and The ORM. You can use Python code directly to perform operations such as Create, Read, […]. The post Inserts, Updates, Deletes in SQLAlchemy 1.4/2.0 Core appeared first on Analytics Vidhya.
CIO Business Intelligence
JUNE 16, 2022
Against a backdrop of disruptive global events and fast-moving technology change, a cloud-first approach to enterprise applications is increasingly critical. That’s the consensus from members of CIO.com’s community of IT experts who weighed in on how a cloud-first approach to enterprise applications allow an organization to scale its business. With a cloud-first approach, businesses can sidestep the high costs associated with on-premises deployment, installation, maintenance, and IT infrastructu
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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