Alation

SEPTEMBER 8, 2022

When it comes to the cloud, you want verifiable value — not a data diaspora. By now, the advantages of moving data to the cloud are obvious. Yet there’s more to a cloud migration strategy than, well, simply choosing to moving data to the cloud: How long will migration take? Amazon EMR. A Partnership Milestone.

AWS 52

AWS Analytics Analytics Data Governance 52

IBM Journey to AI blog

MAY 25, 2023

It stands alongside IBM Consulting’s existing global AI and Automation practice, which includes 21,000 data and AI consultants who have conducted over 40,000 enterprise client engagements. At the same time, there are reasonable concerns about how to mitigate bias, manage data security, and factor in precision and risk.

AI 107

AI AI Artificial Intelligence Artificial Intelligence 107

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Quality 52

Data Quality Data Governance Data Analysis Data Analysis 52

Smart Data Collective

AUGUST 16, 2021

You need to pay close attention to analytics data on various KPIs to determine whether your strategy is working well and what tweaks need to be made. As an eCommerce entrepreneur, you have the benefit of being able to access a plethora of data at any time about multiple areas of your business and how consumers interact with it.

Analytics 131

Analytics Analytics Big Data Big Data 131

Alation

MAY 11, 2023

In this blog, I’ll detail how we’ve grown in EMEA specifically, sharing exciting updates and plans for the future. Stay tuned for more information on what’s sure to be another educational, memorable, and enlightening gathering of the data community. These metrics are a testament to our global expansion in EMEA and APAC.

Data Governance 52

Data Governance Tableau AWS AI 52

IBM Journey to AI blog

JANUARY 11, 2024

Last year, companies around the world spent close to USD 219 billion on cybersecurity and security solutions, a 12% increase from the previous year according to the International Data Corporation (IDC) (link resides outside ibm.com.) Establishing your RTO and RPO are critical steps in your recovery process.

Cloud Computing 102

Cloud Computing 102

Iguazio

MARCH 31, 2024

In this blog post, we dive deep into these use cases and their business and operational impact. For more details on this topic, you can watch the webinar this blog post is based on. Distinctive - Novel capabilities that leverage complex data orchestration and advanced engineering. This also helps with agent ramp-up.

AI 52

AI AI Database Analytics 52

DagsHub

FEBRUARY 14, 2024

This blog post is crafted to guide computer vision leaders through the intricacies of ensuring their models not only perform well under usual conditions but also maintain high accuracy and reliability when confronted with edge cases. These could include variations in lighting, unexpected object placements, or even flawed input data.

Data Analysis 52

Data Analysis Data Analysis AI AI 52

AWS Machine Learning Blog

JANUARY 26, 2024

Being aware of risks fosters transparency and trust in generative AI applications, encourages increased observability, helps to meet compliance requirements, and facilitates informed decision-making by leaders. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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AWS AI AI ML 122

Alation

MAY 11, 2023

In this blog, I’ll detail how we’ve grown in EMEA specifically, sharing exciting updates and plans for the future. Stay tuned for more information on what’s sure to be another educational, memorable, and enlightening gathering of the data community. These metrics are a testament to our global expansion in EMEA and APAC.

Data Governance 40

Data Governance Tableau AWS AI 40

IBM Journey to AI blog

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining? How does text mining work?

Machine Learning 56

Machine Learning Machine Learning Data Mining Data Mining 56

DrivenData Labs

MARCH 30, 2023

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections.

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162

AWS Machine Learning Blog

AUGUST 3, 2023

Data classification, extraction, and analysis can be challenging for organizations that deal with volumes of documents. Features such as normalizing key fields and summarizing input data support faster cycles for managing document process workflows, while reducing the potential for errors.

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AWS AI AI ML 75

IBM Journey to AI blog

MARCH 26, 2024

Maximizing value with a holistic strategy The first step in maximizing that dual value is upfront due diligence to assess the current state of reporting readiness, alignment between ESG requirements and voluntary sustainability initiatives, and consider how to drive acceleration with future-proofed solutions.

Data Governance 66

Data Governance AI AI 66

AWS Machine Learning Blog

JANUARY 6, 2023

The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. The tools are typically used by data scientists and ML developers from experimentation to production deployment of AI and ML solutions. AWS position.

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AWS ML ML Data Preparation 69

IBM Journey to AI blog

APRIL 11, 2024

The groundwork for effectively operationalizing governance is human-centered, and includes securing funded mandates, identifying accountable leaders, developing agency-wide AI literacy and centers of excellence and incorporating insights from academia, non-profits and private industry. The term governance can be slippery.

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AI AI Algorithm Artificial Intelligence 78

AWS Machine Learning Blog

MAY 9, 2024

Verisk (Nasdaq: VRSK) is a leading data analytics and technology partner for the global insurance industry. Verisk’s FAST platform is a leader in the life insurance and retirement sector, providing enhanced efficiency and flexible, easily upgradable architecture.

AI 101

AI AI AWS Data Governance 101

Alation

FEBRUARY 10, 2023

What do The Sopranos, Breaking Bad, and Data Radicals have in common? (No, That’s why I’m excited for the second season of Data Radicals , which launches on February 15. She told me they first started looking at their data at one of their cafeterias [in France] and saw an increase in the sale of breakfast sausage.

Data Scientist 52

Data Scientist Data Analysis Data Analysis Analytics 52

Alation

AUGUST 16, 2022

This week, IDC released its second IDC MarketScape for Data Catalogs report, and we’re excited to share that Alation was recognized as a leader for the second consecutive time. To arrive at a score, the writers reviewed product capabilities and strategy, combined with interviews with confirmed vendor customers.

Data Quality 52

Data Quality Data Governance Cloud Data Data Engineering 52

IBM Journey to AI blog

DECEMBER 20, 2023

Hybrid cloud has become the IT infrastructure of choice, providing the interoperability and portability organizations need to access data where and when they need it. To capture the most value from hybrid cloud, business and IT leaders must develop a solid hybrid cloud strategy supporting their core business objectives.

Cloud Computing 102

Cloud Computing Machine Learning Machine Learning Big Data Analytics 102

Mlearning.ai

MAY 23, 2023

Hey guys, in this blog we will see some of the most asked Data Science Interview Questions by interviewers in [year]. Data science has become an integral part of many industries, and as a result, the demand for skilled data scientists is soaring. What is Data Science?

Data Science 52

Data Science Decision Trees Deep Learning Deep Learning 52

AWS Machine Learning Blog

OCTOBER 10, 2023

Machine learning (ML), especially deep learning, requires a large amount of data for improving model performance. Customers often need to train a model with data from different regions, organizations, or AWS accounts. In this blog, you will learn to build a cloud-native FL architecture on AWS.

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AWS ML ML Algorithm 92

Alation

OCTOBER 12, 2022

Companies collect and analyze vast amounts of data to make informed business decisions. From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. So what are the key differences, and what should data users know about them?

Hypothesis Testing 52

Hypothesis Testing Data Analysis Data Analysis Analytics 52

phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Much of what is discussed in this guide will assume some level of analytics strategy has been considered and/or defined. No problem!

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Power BI Analytics Analytics Azure 84

IBM Journey to AI blog

DECEMBER 4, 2023

Companies large and small are increasingly digitizing and managing vast troves of data. The software provides an integrated and unified platform for disparate business processes such as supply chain management and human resources , providing a holistic view of an organization’s operations and breaking down data silos.

Data Silos 78

Data Silos Clean Data Data Quality 78

The MLOps Blog

OCTOBER 3, 2023

Mikiko is a very well-known figure in the data community. So I tell people honestly, I’ve spent the last eight years working up and down the data and ML value chain effectively – a fancy way of saying “job hopping.” How to transition from data analytics to MLOps engineering Piotr: Miki, you’ve been a data scientist, right?

ML 52

ML ML Data Scientist Machine Learning 52

AWS Machine Learning Blog

MARCH 15, 2024

However, existing solutions can often fall into two categories: rule-based systems that demand substantial time and effort for setup and upkeep, or rigid systems that lack the flexibility required for human-like interactions with customers. The ObjectCreator prompt converts the natural language requests into a data structure (JSON format).

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AWS AI AI Python 119

Cambridge Intelligence

OCTOBER 19, 2023

That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application. There have been a lot of new entrants and innovations in the graph database category, with some vendors slowly dipping below the radar, or always staying on the periphery. can handle many graph-type problems.

Database 59

Database Azure SQL AWS 59

AWS Machine Learning Blog

DECEMBER 1, 2023

The ability to quickly build and deploy machine learning (ML) models is becoming increasingly important in today’s data-driven world. From data collection and cleaning to feature engineering, model building, tuning, and deployment, ML projects often take months for developers to complete.

Machine Learning 84

Machine Learning Machine Learning Data Preparation ML 84

IBM Journey to AI blog

JUNE 15, 2023

When it comes to managing assets throughout their lifecycle, business leaders know they need a comprehensive strategy in place to succeed. But they aren’t always clear on the strategic opportunities around parts inventory management and the role it plays in maintenance strategy.

Internet of Things 71

Internet of Things Analytics Analytics Artificial Intelligence 71

O'Reilly Media

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. We suspect that many API services are being offered as loss leaders—that the major providers have intentionally set prices low to buy market share. Few nonusers (2%) report that lack of data or data quality is an issue, and only 1.3%

AI 108

AI AI Data Analysis Data Analysis 108

AWS Machine Learning Blog

SEPTEMBER 25, 2023

Additionally, it highlights the specific parts of your input text related to each category of bias. client('runtime.sagemaker') def lambda_handler(event, context): data = json.loads(json.dumps(event)) payload = json.dumps(data['data']).encode('utf-8') His passion lies in connected vehicles and autonomous driving.

AWS 84

AWS ML ML Machine Learning 84

Snorkel AI

MARCH 1, 2023

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. Data scientists can build upon generalized FMs and fine-tune custom versions with domain-specific or task-specific training data. What are they and how will they impact your business?

Natural Language Processing 83

Natural Language Processing Supervised Learning Machine Learning Machine Learning 83

Flipboard

MARCH 6, 2023

Because of increasing volumes of data on the internet, the average cost of training the kinds of machine learning models that generative AI runs on could grow as large as $500 million to train a single model by 2030, according to a recent report by advanced AI research group EpochAI. Jasper is one of the biggest examples of that.

AI 123

AI AI Artificial Intelligence Artificial Intelligence 123

DrivenData Labs

DECEMBER 7, 2023

In the Unsupervised Wisdom Challenge , participants were tasked with identifying novel, effective methods of using unsupervised machine learning to extract insights about older adult falls from narrative medical record data. He actively participates in data science competitions, consistently achieving top places. and DistilBERT.

Natural Language Processing 130

Natural Language Processing Clustering Data Science Data Analysis 130

Alation

FEBRUARY 20, 2020

Data catalogs are here to stay. This week, two independent analyst reports validated what we’ve known for years – data catalogs are critical for self-service analytics.[1]. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. This is Forrester’s inaugural Wave on data catalogs. A New Market Category.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Analytics 52

Alation

FEBRUARY 10, 2022

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Manual Data Classification. Manual Data Classification.

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Data Classification Data Governance Data Analyst ML 52