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8 Important Things You Should Know About The Tech Used In The Food Industry

Jul 6, 2023 By OpsMatters In OpsMatters
Are you curious about the technology that powers the food industry? From farm to fork, the use of cutting-edge tech has revolutionized how we produce, process, and consume our favorite meals. Whether you're a food enthusiast, a health-conscious individual, or simply intrigued by the latest innovations, understanding the role of technology in the food industry is vital. In this blog post, we'll explore eight important things you should know about the tech used in the food industry.
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opsmatters

How Technological Advancements Transform Hiring Processes and Decisions

Jul 6, 2023 By OpsMatters In OpsMatters
Technology has forever changed the landscape of businesses, especially in terms of HR practices. From hiring to onboarding and beyond, technological advancements have drastically altered the way companies develop their teams and make decisions. Automated technologies can help streamline processes, improve accuracy around evaluating job candidates, simplify communication and collaboration between colleagues globally-the list goes on! To better understand how technology influences human resources today and into the future, let's take a closer look at how far it has come already in transforming different stages within the typical hiring process.
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canonical

ML Observability: what, why, how

Jul 6, 2023 By Andreea Munteanu In Canonical
Note: This post is co-authored by Simon Aronsson, Senior Engineering Manager for Canonical Observability Stack. AI/ML is moving beyond the experimentation phase. This involves a shift in the way of operating because productising AI involves many sophisticated processes. Machine learning operations (MLOps) is a new practice that ensures ML workflow automation in a scalable and efficient manner. But how do you make MLOps observable?
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opsmatters

Top 8 Emerging Technology Trends for 2023

Jun 29, 2023 By OpsMatters In OpsMatters
The state of technology is always changing. We are seeing new technological developments every day as a result of several things, such as improvements in research and development, the introduction of new goods and services, and modifications in customer preferences and requirements. The rapid development of artificial intelligence (AI) and machine learning is only one instance of how technology is evolving daily. These technologies are being utilized to increase productivity and decision-making across a range of sectors, including healthcare, banking, and retail.
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anodot

Safeguarding Cryptocurrency Exchanges: The Power of Machine Learning Monitoring

Jun 28, 2023 By Anodot In Anodot

Bitcoin and Coinbase have been in some hot water lately. How they handle cryptocurrency might not be legal or safe. The lack of regulations is causing concern from the government about potential criminal activity, fraud, and money laundering. The good news? Rules are being implemented for crypto exchanges to stop corrupt events from happening. Regulations like Know Your Customer (KYC) are an absolute must for exchanges to keep operating legally.

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circleci

Solving the top 7 challenges of ML model development with CircleCI

Jun 28, 2023 By Jacob Schmitt In CircleCI

Amid an AI boom and developing research, machine learning (ML) models such as OpenAI’s ChatGPT and Midjourney’s generative text-to-image model have radically shifted the natural language processing (NLP) and image processing landscape. Due to this new and powerful technology, developing and deploying ML models has quickly become the new frontier for software development.

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Machine Learning Made Simple - Civo Navigate NA 2022

Jun 28, 2023 By Civo In Civo
Josh Mesout explores the complexities and challenges of adopting machine learning and artificial intelligence (AI). He discusses the struggle to embrace and understand these technologies, leading to a high failure rate. Mesout highlights the significant time spent on infrastructure engineering and the need for expertise across various disciplines. He addresses the difficulty in justifying ROI and the risks associated with machine learning. Civo introduces KubeFlow as a service to simplify machine learning, including lower pricing points, GPU Edge box, and partnerships.
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canonical

Kubeflow vs MLFlow: which one to choose?

Jun 23, 2023 By Andreea Munteanu In Canonical
Data scientists and machine learning engineers are often looking for tools that could ease their work. Kubeflow and MLFlow are two of the most popular open-source tools in the machine learning operations (MLOps) space. They are often considered when kickstarting a new AI/ML initiative, so comparisons between them are not surprising. This blog covers a very controversial topic, answering a question that many people from the industry have: Kubeflow vs MLFlow: Which one is better?
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opsmatters

Transforming Data Analysis: Exploring The Latest Advancements in Extraction Capabilities

Jun 19, 2023 By OpsMatters In OpsMatters
The digital age has ushered in a massive influx of data from various sources. As data continues to grow in volume and complexity, the need for effective data extraction tools that can help us glean actionable insights from this information is more pressing than ever. In fact, the process of data extraction has evolved significantly over the years, moving from rudimentary manual procedures to sophisticated automated systems.
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Kubeflow vs MLFlow

Jun 15, 2023 By Canonical In Canonical
Learn the main differences between the MLOps tools of choice: Kubeflow and MLFlow Started by Google a couple of years ago, Kubeflow is an end-to-end MLOps platform for AI at scale. Canonical has its own distribution, Charmed Kubeflow, which addresses the entire machine-learning lifecycle. Charmed Kubeflow is a suite of tools, such as Notebooks for training, Pipeline for automation, Katib for hyperparameter tuning or KServe for model serving and more. Charmed Kubeflow benefits from a wide range of integrations with other tools such as MLFlow, Spark, Grafana or Prometheus.
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