Data Science Dojo

FEBRUARY 17, 2023

If you are a networking entrepreneur or notable leader in your company and wondering how your organization can benefit by getting actively involved in data science communities, this writing piece is for you. A fusion of advanced statistics, advanced mathematics, AI (Artificial Intelligence), and machine learning, Data science is here to stay.

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Dataconomy

AUGUST 28, 2023

Image credit ) What is embedded software development and why is it important for IoT-enabled applications Embedded software development plays a major role in the introduction of IoT-enabled applications. For up-to-date reference on embedded software development best practices, you can go for N-ix resources.

Internet of Things 172

Internet of Things 172

Data Science Dojo

JULY 19, 2023

In this blog post, we will delve into the advantages, challenges, opportunities, and why it is essential to adapt to these changes. By analyzing vast amounts of customer data, AI algorithms can uncover patterns, preferences, and behaviors, enabling marketers to deliver highly relevant content, product recommendations, and offers.

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IBM Journey to AI blog

MAY 9, 2024

The healthcare industry faces arguably the highest stakes when it comes to data governance. For starters, healthcare organizations constantly encounter vast (and ever-increasing) amounts of highly regulated personal data. healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

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Data Governance Data Silos Data Quality Predictive Analytics 73

Data Science Blog

MAY 1, 2023

Data analytics in HR can help businesses make informed decisions for hiring, promotion and digital transformation. What role does data play in HR analytics and success? The Value of Data in HR Data is crucial for the success of HR analytics tools. For example, professional absenteeism costs an estimated $24.2

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IBM Data Science in Practice

MAY 26, 2023

By Erika Agostinelli (IBM Senior Data Scientist), Stefan van der Stockt (IBM Lead Data Scientist, Master Inventor) and Carolyn Saplicki (IBM Data Scientist) Various industries are utilizing AI in Sustainability practices more to create models that aid with critical asset performance management (APM) initiatives.

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Smart Data Collective

SEPTEMBER 7, 2022

Data mining technology has led to some important breakthroughs in modern marketing. Even major companies like HubSpot have talked extensively about the benefits of using data mining for marketing. One of the most important ways that companies can use data mining in their marketing strategies is with SEO.

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IBM Journey to AI blog

JANUARY 23, 2023

If you’re in charge of managing data at your organization, you know how important it is to have a system in place for ensuring that your data is accurate, up-to-date, and secure. That’s where data governance comes in. What exactly is data governance and why is it so important?

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Data Governance Data Silos Data Quality AI 73

Dataconomy

NOVEMBER 29, 2023

What sets the AI text generator and writing tool apart from most other solutions is that it uses the latest sources. Whether you’re writing about marketing trends or eCommerce strategies, the assistant will feed you with the most recent data. AI text generator and writing tool can be the solution to these challenges. For $129.99

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AI AI Clustering Artificial Intelligence 202

Defined.ai blog

FEBRUARY 13, 2023

While our last blog focused on the transformative powers of generative AI and large language models, an equally urgent—if currently less publicized—discussion is happening behind the scenes. Models like GPT-3 and Stable Diffusion are no different given that their training data is essentially internet-scale in size.

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AWS Machine Learning Blog

FEBRUARY 27, 2024

Axfood has a structure with multiple decentralized data science teams with different areas of responsibility. Together with a central data platform team, the data science teams bring innovation and digital transformation through AI and ML solutions to the organization. This is a guest post written by Axfood AB.

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Machine Learning Machine Learning ML ML 114

Precisely

MARCH 12, 2024

Your competitors use data to target your customers, discover unmet needs, and explore new markets. If you’re not using data to your advantage, you risk falling behind the rest of the pack. Specifically, these leaders were focused on growing their revenue and increasing operational efficiency with advanced data analytics.

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Data Quality ETL Database Analytics 52

Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

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Data Analyst Data Analysis Data Analysis Machine Learning 52

Smart Data Collective

APRIL 21, 2022

We have pointed out in the past that big data offers a number of benefits for online commerce. One of the most important benefits of data analytics pertains to optimizing websites for a good user experience. User experience optimization (UX) is becoming more important than ever. Leverage Machine Learning Technology.

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Analytics Analytics Big Data Big Data 117

Defined.ai blog

JANUARY 31, 2023

We’re living in an exciting and transformational time for AI, but what most of us—even those in the machine learning and artificial intelligence industry—couldn’t have anticipated is how exponential AI’s progress has been. We’ll still need prompt and attentive customer service as a result.

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AI AI Artificial Intelligence Artificial Intelligence 98

Dataconomy

JULY 26, 2023

In order to handle data transfers and communication effectively, having a reliable and fast internet connection is essential. But what exactly is bandwidth and why does it matter? What is bandwidth? In essence, bandwidth describes the capacity for data transmission within a given time frame. Why bandwidth is vital?

Analytics 91

Analytics Analytics 91

DrivenData Labs

APRIL 13, 2023

We need creative solutions that combine methods with satellite and other data to make these satellites help us. A significant challenge water quality managers face is the formation of harmful algal blooms (HABs). Ultimately, the desire is to make a cyanobacteria detection model available to water quality managers across the U.S.

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IBM Journey to AI blog

MARCH 14, 2024

It has evolved into the de facto standard for data streaming, as over 80% of Fortune 500 companies use it. All major cloud providers provide managed data streaming services to meet this growing demand. Why is it important to monitor Kafka clients? An increase in latency impacts performance and might signal an issue.

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Snorkel AI

MAY 20, 2024

Snorkel takes a step on the path to enterprise superalignment with new data development workflows for enterprise alignment “Superalignment,” once relegated to science fiction and computer science academia, has dominated the recent AI news cycle. The key blocker to enterprise alignment today is labeling and developing preference data.

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AI AI Computer Science Computer Science 52

phData

MAY 14, 2024

The Snowflake Data Cloud offers unparalleled flexibility, performance, and ease of use; however, migrating to a new data platform is not without its challenges. What is Snowflake? Snowflake is a cloud-native data warehousing platform that separates computing and storage, allowing for automatic scaling and pay-per-use pricing.

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SQL Data Warehouse Data Engineering Data Engineer 52

Becoming Human

MAY 9, 2024

In this article, we’ll talk about what named entity recognition is and why it holds such an integral position in the world of natural language processing. In AI, entities refer to tangible and intangible elements like people, organizations, locations, and dates embedded in text data.

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IBM Journey to AI blog

JANUARY 26, 2024

What caused the blackout? Beyond causing blackouts, overgrown vegetation can also cause soil erosion and water quality problems, disrupting both our economy and the environment. But what exactly does vegetation management mean? Why does vegetation management matter? Vegetation management aims to mitigate these risks.

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AI AI 68

Smart Data Collective

JULY 27, 2021

This explains why the cloud technology market will grow by $287 billion over the next four years. However, it is important to understand the fundamentals first. We need to begin by answering the question: what is included in the term “online presence”? Cloud technology can be an asset in all of these areas.

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Cloud Computing Big Data Big Data Machine Learning 125

Smart Data Collective

DECEMBER 9, 2021

Meta Description: Having a website and/or mobile app is important for your business success. That is why you have to know the good UX design principles. Continue to read this blog post for more important details. Big data technology has transformed the web design and e-commerce professions in recent years.

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DagsHub

FEBRUARY 29, 2024

Introduction Machine learning models learn patterns from data and leverage the learning, captured in the model weights, to make predictions on new, unseen data. Data, is therefore, essential to the quality and performance of machine learning models. Why do you need Data Preparation for Machine Learning?

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Data Preparation Machine Learning Machine Learning Data Governance 52

IBM Journey to AI blog

NOVEMBER 3, 2023

As a result, I see access to real-time data as a necessary foundation for building business agility and enhancing decision making. Stream processing is at the core of real-time data. Apache Kafka streams get data to where it needs to go, but these capabilities are not maximized when Apache Kafka is deployed in isolation.

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Apache Kafka Data Warehouse Data Pipeline SQL 78

Towards AI

FEBRUARY 12, 2024

Looking through the vast array of songs and playlists on the many music streaming services available today to find what resonates with you could be frightening. Though the blog would simply go over some basic algorithmic theory and code snippets, let’s analyze our model using the data. In that case, you are not alone.

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Machine Learning Machine Learning AI AI 72

Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

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Data Governance Data Quality DataOps 92

Alation

AUGUST 9, 2022

Today, data is more valuable to a company than it’s ever been. It can help you make data-driven decisions which can improve business performance, boost revenue, and improve efficiencies. But in the four years since it came into force, have companies reached their full potential for data integrity? What is data integrity?

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Data Quality Data Governance Big Data Big Data 52

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? But what comes after these parameters are set?

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Data Governance Data Quality Data Silos Analytics 96

IBM Journey to AI blog

DECEMBER 19, 2023

As organizations collect larger data sets with potential insights into business activity, detecting anomalous data, or outliers in these data sets, is essential in discovering inefficiencies, rare events, the root cause of issues, or opportunities for operational improvements.

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Machine Learning Machine Learning Supervised Learning K-nearest Neighbors 70

Defined.ai blog

MARCH 8, 2023

For example, this will likely translate to better marketing with steady, high-quality AI-produced content vetted and refined by a fully human staff. Nonethtless, the import of BioMedLM’s research remain notable; read on to learn more. Still, why is it so exciting and what do these results imply for the future?

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AI AI Deep Learning Deep Learning 52

IBM Journey to AI blog

JUNE 28, 2023

The trend toward slow productivity is for businesses and employees to rethink what productivity looks like and create an environment where quality of work is emphasized over quantity of work. What practices support sustainable productivity (i.e., What kind of work are you doing, and does it demand speed or thought?

Computer Science 84

Computer Science Computer Science Artificial Intelligence Artificial Intelligence 84

Alation

MAY 24, 2022

In a sea of questionable data, how do you know what to trust? Data quality tells you the answer. It signals what data is trustworthy, reliable, and safe to use. It empowers engineers to oversee data pipelines that deliver trusted data to the wider organization. Today, as part of its 2022.2

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Data Quality Data Pipeline DataOps Analytics 52

Alation

DECEMBER 21, 2022

Master Data Management (MDM) and data catalog growth are accelerating because organizations must integrate more systems, comply with privacy regulations, and address data quality concerns. What Is Master Data Management (MDM)? Data Catalog and Master Data Management. Identify Resources.

Data Quality 52

Data Quality Data Warehouse Data Profiling Data Governance 52

Hacker News

APRIL 18, 2021

Software infrastructure (by which I include everything ending with *aaS, or anything remotely similar to it) is an exciting field, in particular because (despite what the neo-luddites may say) it keeps getting better every year! How they use data to identify friction points, and constantly experiment with changes to make things easier.

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Smart Data Collective

JUNE 29, 2022

Big data is at the heart of all successful, modern marketing strategies. Companies that engage in email marketing have discovered that big data is particularly effective. When you are running a data-driven company, you should seriously consider investing in email marketing campaigns. That’s not true. Cost-effective method.

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