IBM Journey to AI blog

NOVEMBER 29, 2023

Structured synthetic data types are quantitative and includes tabular data, such as numbers or values, while unstructured synthetic data types are qualitative and includes text, images, and video. How to get started with synthetic data in watsonx.ai

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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.

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AWS Machine Learning Blog

JULY 8, 2024

MLOps practitioners have many options to establish an MLOps platform; one among them is cloud-based integrated platforms that scale with data science teams. TWCo data scientists and ML engineers took advantage of automation, detailed experiment tracking, integrated training, and deployment pipelines to help scale MLOps effectively.

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ODSC - Open Data Science

JULY 26, 2024

You’ll explore data ingestion from multiple sources, preprocessing unstructured data into a normalized format that facilitates uniform chunking across various file types, and metadata extraction. You’ll also discuss loading processed data into destination storage. Sign me up! Are you intrigued?

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Unite.AI

JUNE 24, 2024

At Astronomer, he spearheads the creation of Apache Airflow features specifically designed for ML and AI teams and oversees the internal data science team. Can you share some information about your journey in data science and AI, and how it has shaped your approach to leading engineering and analytics teams?

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Large Language Models Data Scientist Machine Learning Software Engineer 130

John Snow Labs

JUNE 28, 2023

John Snow Labs Debuts Comprehensive Healthcare Data Library on Databricks Marketplace: Over 2,400 Expertly Curated, Clean, and Enriched Datasets Now Accessible, Amplifying Data Science Capabilities in Healthcare and Life Sciences.

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ODSC - Open Data Science

DECEMBER 5, 2023

Networking Always a highlight and crowd-pleasure of ODSC conferences, the networking events Monday-Wednesday were well-deserved after long days of data science training sessions. Other Events Aside from networking events and all of our sessions, we had a few other special events.

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ODSC - Open Data Science

JUNE 29, 2023

Let’s download the dataframe with: import pandas as pd df_target = pd.read_parquet("[link] /Listings/airbnb_listings_target.parquet") Let’s simulate a scenario where we want to assert the quality of a batch of production data. These constraints operate on top of statistical summaries of data, rather than on the raw data itself.

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Natural Language Processing Data Science Data Quality Data Scientist 104

Heartbeat

OCTOBER 23, 2023

Revolutionizing Healthcare through Data Science and Machine Learning Image by Cai Fang on Unsplash Introduction In the digital transformation era, healthcare is experiencing a paradigm shift driven by integrating data science, machine learning, and information technology.

Data Scientist 52

Data Scientist Machine Learning Big Data Algorithm 52

Pickl AI

FEBRUARY 27, 2023

Knowing them and adopting the right way to overcome these will help you become a proficient data scientist. 10 Mistakes That a Data Analyst May Make Failing to Define the Problem Identifying the problem area is significant. However, many data scientist fail to focus on this aspect.

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Snorkel AI

NOVEMBER 9, 2023

LLM distillation will become a much more common and important practice for data science teams in 2024, according to a poll of attendees at Snorkel AI’s 2023 Enterprise LLM Virtual Summit. As data science teams reorient around the enduring value of small, deployable models, they’re also learning how LLMs can accelerate data labeling.

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LLM Data Scientist Large Language Models Data Science 59

Snorkel AI

NOVEMBER 9, 2023

LLM distillation will become a much more common and important practice for data science teams in 2024, according to a poll of attendees at Snorkel AI’s 2023 Enterprise LLM Virtual Summit. As data science teams reorient around the enduring value of small, deployable models, they’re also learning how LLMs can accelerate data labeling.

LLM 59

LLM Data Scientist Large Language Models Data Science 59

ODSC - Open Data Science

APRIL 20, 2023

In general, machine learning engineers and data scientists use the term “last mile” to describe the process of preparing an AI solution for broad and universal use. Here are just a few: Data quality. Ensuring data quality and consistency is critical to maintaining model robustness. Concept drift.

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ODSC - Open Data Science

APRIL 25, 2023

Given that data has higher stakes , it only means that you should invest most of your development investment in improving your data quality. This step allows defining the limit of a Machine Learning performance given a base data quality.

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Marktechpost

JUNE 16, 2024

In June 2024, Databricks made three significant announcements that have garnered considerable attention in the data science and engineering communities. These announcements focus on enhancing user experience, optimizing data management, and streamlining data engineering workflows.

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IBM Journey to AI blog

DECEMBER 20, 2023

This calls for the organization to also make important decisions regarding data, talent and technology: A well-crafted strategy will provide a clear plan for managing, analyzing and leveraging data for AI initiatives. Talent and outsourcing : Assess the readiness of and skills gaps within the organization to implement AI initiatives.

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IBM Journey to AI blog

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. Data quality Data quality is essentially the measure of data integrity.

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Pickl AI

OCTOBER 11, 2023

Data Observability and Data Quality are two key aspects of data management. The focus of this blog is going to be on Data Observability tools and their key framework. The growing landscape of technology has motivated organizations to adopt newer ways to harness the power of data. What is Data Observability?

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Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

With SageMaker MLOps tools, teams can easily train, test, troubleshoot, deploy, and govern ML models at scale to boost productivity of data scientists and ML engineers while maintaining model performance in production. Data Management – Efficient data management is crucial for AI/ML platforms.

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Data Scientist ML Data Science Automation 98

Pickl AI

JUNE 4, 2024

Data Analytics acts as the decoder ring, unlocking valuable insights from this vast ocean of information. Through a combination of statistical analysis, machine learning techniques, and data visualization tools, data scientists are transforming the energy sector.

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ODSC - Open Data Science

OCTOBER 15, 2023

Institute of Analytics The Institute of Analytics is a non-profit organization that provides data science and analytics courses, workshops, certifications, research, and development. The courses and workshops cover a wide range of topics, from basic data science concepts to advanced machine learning techniques.

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ODSC - Open Data Science

SEPTEMBER 27, 2023

In contrast, data warehouses and relational databases adhere to the ‘Schema-on-Write’ model, where data must be structured and conform to predefined schemas before being loaded into the database. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

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ODSC - Open Data Science

OCTOBER 20, 2023

HPCC Systems — The Kit and Kaboodle for Big Data and Data Science Bob Foreman | Software Engineering Lead | LexisNexis/HPCC Join this session to learn how ECL can help you create powerful data queries through a comprehensive and dedicated data lake platform. LLMs in Data Analytics: Can They Match Human Precision?

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NLP Data Science Machine Learning AI 52

Pickl AI

JANUARY 16, 2024

Cybersecurity Analyst Safeguarding organisations by analysing data to identify and prevent cyber threats, ensuring the security and integrity of digital systems. Spatial Data Scientist Utilising geographical data to gain insights, solve location-based problems, and contribute to urban planning, environmental conservation, and logistics.

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Data Analysis Data Scientist Data Science Machine Learning 52

Unite.AI

OCTOBER 12, 2023

Not only is LXT an AI data provider that is growing at an impressive and consistent pace, but I also saw it as at the perfect stage in terms of growth in AI know-how as well as in client size and diversity, and hence in AI and AI data types. What does your average day at LXT look like?

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ODSC - Open Data Science

APRIL 3, 2023

As the sibling of data science, data analytics is still a hot field that garners significant interest. Companies have plenty of data at their disposal and are looking for people who can make sense of it and make deductions quickly and efficiently.

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ETL Data Science Big Data Deep Learning 52

Snorkel AI

SEPTEMBER 29, 2023

Focusing primarily on developing data sets falls into the category of data-centric AI — which stands in contrast to model-centric AI. In model-centric AI, data scientists assume that data sets are static and aim to achieve better results by optimizing model architectures and parameters. Poor data quality.

Large Language Models 59

Large Language Models Machine Learning Data Science Data Scientist 59

ODSC - Open Data Science

APRIL 26, 2023

As you can imagine, data science is a pretty loose term or big tent idea overall. Though just about every industry imaginable utilizes the skills of a data-focused professional, each has its own challenges, needs, and desired outcomes. What makes this job title unique is the “Swiss army knife” approach to data.

Machine Learning 52

Machine Learning Data Science Data Scientist Python 52

Snorkel AI

MARCH 14, 2023

Worst of all, when data drifts or business requirements inevitably change, the process restarts from scratch and experts have to spend their time relabeling massive amounts of data. Snorkel AI solves this bottleneck with Snorkel Flow, the data-centric AI platform.

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Snorkel AI

MARCH 14, 2023

Worst of all, when data drifts or business requirements inevitably change, the process restarts from scratch and experts have to spend their time relabeling massive amounts of data. Snorkel AI solves this bottleneck with Snorkel Flow, the data-centric AI platform.

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Data Drift Data Scientist AI AI 52

Heartbeat

OCTOBER 25, 2023

Empowering Data Scientists and Machine Learning Engineers in Advancing Biological Research Image from European Bioinformatics Institute Introduction: In biological research, the fusion of biology, computer science, and statistics has given birth to an exciting field called bioinformatics.

Machine Learning 52

Machine Learning Data Scientist Convolutional Neural Networks Explainability 52

Mlearning.ai

MAY 23, 2023

Product First versus Model First mindset is a important concept as you mature in data science. It’s critical for beginners learn this, since it affects everything: workflows, data quality requirements, etc. While product mindset focuses on the end data product: the minimum viable product. What is the Difference?

Machine Learning 52

Machine Learning Data Scientist ML Data Science 52

Unite.AI

SEPTEMBER 22, 2023

Jay Mishra is the Chief Operating Officer (COO) at Astera Software , a rapidly-growing provider of enterprise-ready data solutions. What initially attracted you to computer science? What we have done is we have actually created this configuration where you are able to pick from a large list of options.

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Large Language Models Automation Artificial Intelligence Artificial Intelligence 278

Pickl AI

MAY 30, 2024

Summary: The Data Science and Data Analysis life cycles are systematic processes crucial for uncovering insights from raw data. Quality data is foundational for accurate analysis, ensuring businesses stay competitive in the digital landscape. billion INR by 2026, with a CAGR of 27.7%. billion INR by 2027.

Data Analysis 52

Data Analysis Data Science Data Scientist Data Quality 52

Pickl AI

APRIL 27, 2023

Data Analytics Trend Report 2023: Data Science is an interdisciplinary field that focuses on filtering the data, categorizing it, and deriving valuable insights. As the importance of Data Science and its role continues to grow, so does the demand for data professionals. billion by 2030.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Python 52

Snorkel AI

JANUARY 9, 2024

This integration grants Snorkel Flow users access to data within Databricks with just a few clicks (as detailed here ) while also facilitating the streamlined registration of custom, use-case-specific models to the Databricks Workspace Model Registry. Snorkel AI eases this bottleneck with the Snorkel Flow AI data development platform.

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Machine Learning Large Language Models LLM Data Scientist 52