Data Archives - Liwaiwai

Effective Management Of Data Sources In Machine Learning

Machine learning and artificial intelligence have been a buzzword as tools based on these technologies, like Chat GPT, became available to the general public. In this article, I would like to have a peek into the ML backstage, especially the data it ingests– the essential fuel for any ML model no matter what it is applied to. There are two major aspects of data when it comes to selecting and processing it: quality and quantity. Also, there is a third factor affecting the practical side of ML: economic feasibility. I would like to share my personal experience of working with different…

Faster Together: How Dun & Bradstreet Datasets Accelerate Your Real-Time Insights

At the third annual Google Data Cloud and AI Summit, we shared how data analytics and insights continue to be a key focus area for our customers and how we’re accelerating their data journeys through new product innovations and partner offerings. A big part of that is helping customers turn their data into insights faster using differentiated datasets from partners and integrating them into their AI/ML workflows. We recently announced our partnership with Crux to add over 1,000 new datasets on Analytics Hub to provide customers with access to a rich ecosystem of data to enrich first-party data assets and accelerate time to value and…

3 Essential Concepts Data Scientists Should Learn From MLOps Engineers

MLOps (Machine Learning Operations) plays a critical role in modern data science, helping to streamline the process of building, deploying, and maintaining machine learning models. However, one challenge MLOps faces compared to DevOps is the lack of education about best practices among data scientists. In this article, we’ll discuss three essential concepts that MLOps engineers should teach data scientists to bridge this knowledge gap and improve collaboration. 1. Git One common challenge that data scientists face is managing multiple versions of their code and notebooks. It’s not uncommon to see filenames like version1.ipynb, version2.ipynb, final.ipynb, and reallyfinal.ipynb. This approach is not only confusing but also makes…

The Top 10 Data Interchange Or Data Exchange Format Used Today

The top 10 data interchange or data exchange formats used today vary depending on the specific domain and use case. However, here are ten widely used formats across different industries: Please note that the popularity and usage of these formats may vary depending on specific requirements and industry practices. Source: cyberpogo.com

Cloudflare’s R2 Is The Infrastructure Powering Leading AI Companies

R2 provides an affordable, zero egress solution to support the architectural freedom needed to train AI models Groundbreaking generative AI companies, including Character.ai, Leonardo.ai., Lexica.art, and SiteGPT.ai, rely on Cloudflare San Francisco, CA, May 16, 2023 – Cloudflare, Inc. (NYSE: NET), the security, performance, and reliability company helping to build a better Internet, today announced that Cloudflare R2 Storage, the distributed object storage that eliminates egress costs, is providing essential infrastructure for leading generative artificial intelligence (AI) companies. Cloudflare is announcing several partnerships with AI infrastructure companies to help companies avoid vendor lock-in and make training generative AI models accessible and affordable.…

SAP And Google Cloud Expand Partnership To Build The Future Of Open Data And AI For Enterprises

gle’s data cloud, so businesses can view their entire data estates in real time and maximize value from their Google Cloud and SAP software investments. Data is the cornerstone of digital transformation and AI development. Organizations spend significant resources building complex data integrations, custom analytics engines, and generative AI and natural language processing (NLP) models before they start to realize value from their data investments. Data originating from SAP systems, in particular, are among organizations’ most valuable assets and can contain critical information on supply chains, financial forecasting, human resources records, omnichannel retail, and more. SAP Datasphere combines this mission-critical…

Announcing Project Health Insights Preview: Advancing AI For Health Data

We live in an era with unprecedented increases in the size of health data. Digitization of medical records, medical imaging, genomic data, clinical notes, and more all contributed to an exponential increase in the amount of medical data. The potential benefit of leveraging this health data is enormous. However, with this growth in health data, new challenges arise, including the focus on data privacy and security, the need for data standardization and interoperability. There is a need for effective tools for extracting information that is buried in this data and using it to derive valuable insights, inferences, and deep analytics that can…

New Field Service Innovations Drive Efficiency with AI, Data, and CRM for Industries

New Einstein GPT capabilities for Field Service Mobile empower frontline service teams with real-time data and AI-generated content and actions Salesforce today announced new Salesforce Field Service innovations, powered by Data Cloud and Einstein GPT, that will lower service costs and generate insights across industries including healthcare, public sector, and manufacturing. Significance: Field service teams interact face-to-face with customers in their home or business — where every experience is an opportunity to build deeper customer relationships that drive revenue. In fact, data shows 86% of decision makers believe field service is critical to growing the business. The Salesforce solution: New Salesforce Field Service innovations leverage the full power of…

As Generative AI Gains Pace, Industry Leaders Explain How To Make It A Force For Good

Artificial intelligence (AI) is becoming more ubiquitous, gaining more social uses and is now more accessible to the everyday person. Those prospects are exciting but there remain challenges regarding fairness and de-biased results. And what about the unintended consequences or harms of AI? How can those working in the AI and machine learning industry ensure that AI remains a force for good? Panellists of the World Economic Forum AI & Machine Learning Platform Quarterly Connect grappled with those questions in a webinar on 23 March 2023. The panel, moderated by Kay Firth-Butterfield, Head of AI & Machine Learning at the…

Boost Your Data And AI Skills With Microsoft Azure CLX

We’re excited to announce that the Microsoft Azure Connected Learning Experience (CLX) program now has three new Data and AI tracks designed for data professionals. Personalized, self-paced, and culminating in a certificate of completion, these courses help you boost your data and AI skills your way—allowing you to maximize your learning in minimal time. New courses Who should attend? Course content AI-102: Designing and implementing a Microsoft Azure AI Solution Azure AI Engineer, AI Developer, AI Specialist This course boosts your understanding of building, managing, and deploying AI solutions that leverage Azure Cognitive Services and Azure Applied AI services. It’s designed for…

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