AWS Machine Learning Blog

JUNE 13, 2023

In addition, each employee or department has its own preferred method of accumulating knowledge, and trying to force unification won’t lead to motivation or performance in knowledge sharing. In other words, it is a search engine that specializes in internal information. This was very helpful in solidifying the image of the launch.

Data Scientist 77

Data Scientist AWS Machine Learning Machine Learning 77

Dataconomy

SEPTEMBER 21, 2023

In Australia’s rapidly evolving, increasingly digital economy, the demand for candidates with skills in science, technology, engineering, and mathematics has become more crucial than ever. For example, Sharine ‘Spanner’ Milne uses her knowledge of STEM subjects in her day-to-day role as a motorcycle mechanic.

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Data Science 121

AWS Machine Learning Blog

FEBRUARY 14, 2023

For instance, faculty in an educational institution belongs to different departments, and if a professor belonging to the computer science department signs in to the application and searches with the keywords “ faculty courses ,” then documents relevant to the same department come up as the top results, based on data source availability.

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AWS Computer Science Computer Science Python 79

IBM Journey to AI blog

JANUARY 26, 2024

Traffic engineering capabilities Hybrid Cloud Mesh : Utilizes waypoints to support path optimization for cost, latency, bandwidth and others, enhancing application performance and security. Service mesh : No traffic engineering capabilities. Primarily focuses on internal traffic management within the microservices architecture.

Clustering 66

Clustering 66

Hacker News

JULY 5, 2023

Most of the growth of air conditioning will be in other countries,” says mechanical engineer Vince Romanin, co-founder and CEO of the San Francisco-based Gradient Comfort , “and restricting access is not fair.” Department of Energy tightened efficiency testing standards for air conditioners for the first time since 2015.

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AWS Machine Learning Blog

FEBRUARY 13, 2024

These need to be securely accessed by ML developers in other departments like marketing, fraud detection, and so on to build models. ML engineers refine these foundational features, tailoring them for mature ML workflows. Ioan has over 20 years of experience, mostly in software architecture design and cloud engineering.

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AWS ML ML Machine Learning 105

Smart Data Collective

SEPTEMBER 19, 2022

From malware and social engineering to resources specifically created to masquerade as your organization to harvest credentials and other sensitive information. Account restrictions and password policies are among the most neglected security mechanisms and pose a great risk to organizations, globally. The biggest are listed below.

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ML ML Machine Learning Machine Learning 96

Defined.ai blog

SEPTEMBER 21, 2023

In this exploration, we’ll journey deep into some Natural Language Processing examples , as well as uncover the mechanics of how machines interpret and generate human language. For instance, when you ask Siri or Alexa a question, Natural Language Processing mechanisms help them decipher your request and provide a coherent answer.

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Natural Language Processing Data Mining Data Mining Data Mining 52

IBM Journey to AI blog

FEBRUARY 13, 2024

The quality of outputs depends heavily on training data, adjusting the model’s parameters and prompt engineering, so responsible data sourcing and bias mitigation are crucial. Invest in data hygiene and collection strategies to keep your engine running smoothly. Garbage in, garbage out.

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AI AI Natural Language Processing Artificial Intelligence 125

phData

JULY 17, 2023

When it comes time to deploy those models to production, reproducibility is key for transferring solutions to engineering and operations teams. An AI strategy includes architectural and best-practice guidance that will help data scientists and machine learning engineers develop robust solutions.

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AWS Machine Learning Blog

FEBRUARY 27, 2024

Model build pipeline The model build pipeline orchestrates the model’s lifecycle, beginning from preprocessing, moving through training, and culminating in being registered in the model registry: Preprocessing – Here, the SageMaker ScriptProcessor class is employed for feature engineering, resulting in the dataset the model will be trained on.

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Machine Learning Machine Learning ML ML 112

IBM Journey to AI blog

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Lakes Data Warehouse Business Intelligence 52

IBM Journey to AI blog

AUGUST 7, 2023

Leveraging Next Best Action (NBA) engine for mitigation plan execution Having a well-defined and executed mitigation plan in place during trial conduct is essential to the success of the trial. Department of Health and Human Services. Tufts Center for the Study of Drug Development.

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AI AI Algorithm Artificial Intelligence 59

DrivenData Labs

MARCH 30, 2023

The underlying mechanics of infections was fairly straightforward—exposures lead to infections—but this problem was made hard by the enormity of the system, with over 7 million individuals involved in a complex graph of daily contact over nine weeks of simulation. Shaishav Jain is a Data Science Associate Consultant at ZS.

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Machine Learning Machine Learning Data Science Algorithm 162

Alation

JUNE 14, 2023

We didn’t have access to hundreds of data engineers out in the marketplace,” Lavorini points out. The data producer — like a platform engineer — sits close to the source. It’s also the mechanism that brings data consumers and data producers closer together. Fifth Third leverages dbt for “embedded” governance.

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Data Pipeline ETL Data Warehouse SQL 52

ODSC - Open Data Science

JULY 20, 2023

Technical staff: Data centers require technical staff such as systems administrators, network engineers, data center technicians, and engineers, who are responsible for the day-to-day operation and maintenance of the data center’s infrastructure, including servers, storage systems, networking equipment, power and cooling systems, etc.

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AI AI Cloud Computing Data Scientist 52

DrivenData Labs

APRIL 10, 2024

incorporation of simple linguistic rules, low-rank approximation (LoRA) fine-tuning state-of-the-art large language models (LLMs), prompt engineering, and retrieval augmented generation (RAG) to enrich the LLM prompt context with relevant documents. You can find more information on each of the winning approaches below. in computer science.

Computer Science 264

Computer Science Computer Science Machine Learning Machine Learning 264

Alation

APRIL 26, 2021

This aligns understanding, so that, for example, a term like “customer” means the same thing across all departments. For enterprises operating across many departments, regions, and contexts, a single term can have multiple meanings. Machine Learning and the Behavioral Analysis Engine (BAE). What is a data dictionary?

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Database Machine Learning Machine Learning Database Administration 52

AWS Machine Learning Blog

JANUARY 13, 2023

Because they are in a highly regulated domain, HCLS partners and customers seek privacy-preserving mechanisms to manage and analyze large-scale, distributed, and sensitive data. Previously, he was a Machine Learning Engineer in Connectivity Services at Amazon who helped to build personalization and predictive maintenance platforms.

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AWS Analytics Analytics Machine Learning 73

Smart Data Collective

MARCH 12, 2020

Worcester Polytechnic Institute has the only graduate fire protection engineering program in the United States. In an office building, this might mean a water-based system for open office areas and a powder or foam system in the mechanical room. Fire safety technology is changing in interesting ways. Improving Response Times.

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Analytics Analytics Big Data Big Data 93

Hacker News

JULY 2, 2023

Mr. Raskin’s proposal did not impress anyone at Apple Computer enough to bring much money from the board of directors or much respect from Apple engineers. Some managers like to take control, and though that may be good for mundane engineers, it isn’t good if you are self-motivated.” No one tried to control us,” said one.

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Alation

MAY 24, 2022

These solutions exist because different industries or departments within an organization may require different types of data quality. We have seen that most of our customers have multiple data quality tools across multiple departments. Some vendors leverage machine learning to build rules where others rely on manually declared rules.

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Data Quality Data Governance ETL Data Observability 98

phData

JANUARY 15, 2024

Encryption Mechanisms for Data at Rest and in Transit End-to-end Encryption (E2EE) is a fantastic way to keep your data safe in Snowflake. Department of Defense data. It enhances data governance by introducing a tagging mechanism. In the face of unexpected events or outages, Snowflake introduces failover mechanisms.

Data Governance 52

Data Governance Database Data Warehouse Cloud Computing 52

Chatbots Life

FEBRUARY 1, 2023

According to Upwork, 73% of departments will have remote workers by 2028. Whether you’re searching on Bing, Google, or a more complicated search engine like SharePoint or a website, it doesn't matter. Search engines present general information based on your search criteria in your search tabs.

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AI AI 52

phData

NOVEMBER 8, 2023

Mechanisms must be in place to keep this data in sync between your identity provider and your service provider for a seamless user experience. This specifies how long the credentials are valid for, and provides a quick mechanism to know when to have a user re-enter their credentials.

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SQL Azure Data Engineering Data Engineer 52

Dataconomy

MAY 2, 2023

According to the BBC interview , he acknowledged that his advanced age was a factor in his choice to depart the computer giant. To mitigate these dangers of AI, chatbot developers should implement robust encryption, authentication, verification, and moderation mechanisms. Keep reading and find out.

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Alation

MAY 12, 2022

Add to that the data from sales, support, engineering, field service, finance, and even partners and suppliers, and it’s a complex jumble of data sources , locations, and access rules. The department store company imports many of its manufactured products from China. Here’s how. Centralize, optimize, and unify data.

Data Governance 52

Data Governance Internet of Things ML ML 52

AWS Machine Learning Blog

APRIL 11, 2023

In this post, we use a transit gateway because it provides a simpler VPC-to-VPC communication mechanism over VPC peering when there are a large number of VPCs involved. LOB accounts are logical entities that are business, department, or domain specific. We assume one account per logical entity.

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IBM Journey to AI blog

FEBRUARY 8, 2024

Wind energy Humans have long used wind energy for mechanical purposes. 3 Eventually the use of wind energy shifted from its mechanical applications to electricity generation. As with wind energy, humans have long taken advantage of the mechanical applications of hydropower. Department of Energy (DOE).

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Cost monitoring Cost optimization begins with a granular understanding of the breakdown in cost and usage; the ability to model and forecast future spend, usage, and features; and the implementation of sufficient mechanisms to align cost and usage to your organization’s objectives.

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AWS ML ML Machine Learning 81

DataRobot

OCTOBER 8, 2021

123 To close this gap in the United States, the Cybersecurity Infrastructure Security Agency (CISA) and the Department of Energy (DOE) have instituted programs to train and bolster the cybersecurity workforce. Cybersecurity engineers install endpoint detection capabilities, network monitoring software, privilege access controls, and more.

Citizen Data Scientist 52

Citizen Data Scientist AI AI Data Scientist 52

PyImageSearch

DECEMBER 18, 2023

Automatic differentiation engines in frameworks (e.g., This means it can perform tensor operations using different engines (e.g., Whether it’s TensorFlow’s tf.data for efficient data loading and preprocessing or PyTorch’s DataLoader for its ease of use and flexibility, Keras 3 can integrate with these mechanisms.

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ML ML Deep Learning Deep Learning 67

The MLOps Blog

MARCH 21, 2023

As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale. Supporting the operations of data scientists and ML engineers requires you to reduce—or eliminate—the engineering overhead of building, deploying, and maintaining high-performance models.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

Alation

OCTOBER 12, 2021

Data engineering. There was no mechanism for collaborating and sharing insights. Collaborate on data analysis across departments and roles. One may define enterprise data analytics as the ability to find, understand, analyze, and trust data to drive strategy and decision-making. Business strategy. Analytics forecasting.

Analytics 52

Analytics Analytics Data Governance DataOps 52

Alation

FEBRUARY 20, 2020

Over the last 20 years, CEOs, CIOs and their enterprise IT departments have sought to define business processes and build the systems needed to operationalize and codify how people work together. Data is the mechanism for resolving questions. Change is risky; change is expensive, and change is disruptive.

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Internet of Things Data Lakes Analytics Analytics 52