AWS Machine Learning Blog

MAY 30, 2024

CBRE’s data environment, with 39 billion data points from over 300 sources, combined with a suite of enterprise-grade technology can deploy a range of AI solutions to enable individual productivity all the way to broadscale transformation. The wrapper function runs the SQL query using psycopg2.

Metadata 93

Metadata Generative AI LLM Prompt Engineer 93

IBM Journey to AI blog

SEPTEMBER 11, 2023

On June 7, 1983, a product was born that would revolutionize how organizations would store, manage, process , and query their data: IBM Db2. Boyce to create Structured Query Language (SQL). enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics.

Machine Learning 215

Machine Learning Data Ingestion Automation Data Scientist 215

AWS Machine Learning Blog

JANUARY 4, 2024

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. The primary goal is to automatically generate SQL queries from natural language text. What percentage of customers are from each region?”

Prompt Engineer 113

Prompt Engineer Prompt Engineering Generative AI LLM 113

AWS Machine Learning Blog

APRIL 16, 2024

They then use SQL to explore, analyze, visualize, and integrate data from various sources before using it in their ML training and inference. Previously, data scientists often found themselves juggling multiple tools to support SQL in their workflow, which hindered productivity.

Data Scientist 84

Data Scientist Generative AI ML Machine Learning 84

IBM Journey to AI blog

JUNE 8, 2023

From marketing to HR, finance to supply chain and more, decision-makers can use these insights to improve decision-making and productivity enterprise-wide. The latest version extends its range of analytics capabilities in a single, secure environment integrated with IBM’s data fabric architecture. But most businesses are behind.

Business Intelligence 158

Business Intelligence Explainability AI AI 158

AWS Machine Learning Blog

DECEMBER 6, 2023

This is especially true for questions that require analytical reasoning across multiple documents. This task involves answering analytical reasoning questions. In this post, we show how to design an intelligent document assistant capable of answering analytical and multi-step reasoning questions in three parts.

Metadata 95

Metadata LLM NLP Conversational AI 95

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 194

Data Science Data Scientist Machine Learning Data Mining 194

Flipboard

DECEMBER 6, 2023

In this post, we discuss a Q&A bot use case that Q4 has implemented, the challenges that numerical and structured datasets presented, and how Q4 concluded that using SQL may be a viable solution. RAG with semantic search – Conventional RAG with semantic search was the last step before moving to SQL generation.

Chatbots 130

Chatbots LLM Prompt Engineer Prompt Engineering 130

IBM Journey to AI blog

APRIL 8, 2024

Answer : Along with standard RDS features, Amazon RDS for Db2 supports key Db2 features, such as row and column organized tables for mixed and analytic workloads, the Adaptive Workload Optimizer to for better resource management, and rules-based access controls for advanced data protection.   Scalability 5. . 

Auto-complete 174

Auto-complete Automation Business Intelligence Machine Learning 174

Bugra Akyildiz

APRIL 20, 2024

Now, back to the original programming: Articles Pinterest wrote a blog post on generating SQL queries from text. A core part of this process involves writing SQL queries to analyze data and solve analytical problems. The initial version of the Text-to-SQL solution relied on an LLM as the core component.

LLM 52

LLM Natural Language Processing NLP Big Data 52

AWS Machine Learning Blog

MARCH 14, 2024

We formulated a text-to-SQL approach where by a user’s natural language query is converted to a SQL statement using an LLM. The SQL is run by Amazon Athena to return the relevant data. Our final solution is a combination of these text-to-SQL and text-RAG approaches. The following table contains some example responses.

Generative AI 94

Generative AI LLM AI AI 94

Towards AI

JULY 20, 2023

This is the Ultralearning Product Data Science program that I have prepared for myself to follow for the next 100 days (01/03/21–08/06/21) Check out my notes of Ultralearning and So good that they cannot ignore you to comprehend. Source: Unsplash Why Product Data Science? I am good with stats and decision-making!

Data Science 87

Data Science Data Scientist Algorithm Machine Learning 87

IBM Journey to AI blog

SEPTEMBER 29, 2023

In a survey run by IDC, a leading provider of global IT research and advice, 43% of technology leaders indicated that they were “planning to deliver innovative digital products and services at a faster pace.” View the webinar to learn more about unlocking the value of transaction data flowing across your organization.

Data Analysis 253

Data Analysis Automation 253

IBM Journey to AI blog

MARCH 14, 2024

The solution: IBM databases on AWS To solve for these challenges, IBM’s portfolio of SaaS database solutions on Amazon Web Services (AWS), enables enterprises to scale applications, analytics and AI across the hybrid cloud landscape. This approach enables customers to modernize their infrastructure at their own pace.

ETL 192

ETL AI AI Metadata 192

Towards AI

APRIL 19, 2024

Alphabet (Google) 👉Industry domain: Communication services 👉Location: Over 200 cities worldwide 👉Year founded: 1998 👉Key Products developed: Gemini, Vertex AI, Gemini for Google Workspace 👉Benefits: Integration with Google Search and apps, Comprehensive quality management features 6.

Generative AI 86

Generative AI AI AI Artificial Intelligence 86

IBM Journey to AI blog

OCTOBER 17, 2023

To meet these objectives, business and data professionals need to go beyond cookie-cutter business intelligence, data visualization dashboards and data analytics tools. They need to uncover the right digital signals and constantly be aware, so they can detect and respond to critical business scenarios in real-time.

Automation 196

Automation Business Intelligence Data Analysis 196

IBM Journey to AI blog

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

Data Platform 182

Data Platform Business Intelligence AI AI 182

Pickl AI

APRIL 26, 2024

It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques. Additionally, it delves into case study questions, advanced technical topics, and scenario-based queries, highlighting the skills and knowledge required for success in data analytics roles.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

Unite.AI

MARCH 21, 2024

Shadi is SVP of Engineering at digital analytics leader Amplitude. She has innovated and delivered several product lines and services specializing in distributed systems, cloud computing, big data, machine learning and security. Building great digital products and experiences is hard, especially in today’s competitive landscape.

DevOps 147

DevOps Data Quality Machine Learning Generative AI 147

Pickl AI

APRIL 10, 2023

SQL or Structured Query Language has a significant role to play in conducting practical Data Analysis. That’s where SQL comes in, enabling data analysts to extract, manipulate and analyse data from multiple sources. That’s where SQL comes in, enabling data analysts to extract, manipulate and analyse data from multiple sources.

Data Analysis 52

Data Analysis Big Data Data Scientist Python 52

IBM Journey to AI blog

JULY 5, 2023

Data Lakes have been around for well over a decade now, supporting the analytic operations of some of the largest world corporations. This was, without a question, a significant departure from traditional analytic environments, which often meant vendor-lock in and the inability to work with data at scale.

Metadata 153

Metadata Data Platform Big Data Data Science 153

Mlearning.ai

JULY 20, 2023

Source —  [link] SQL is one of the hardcore requirements for any software or analytical system — without which today’s systems will cease to exist. Writing an efficient SQL query is as important as having it. Having an inefficient SQL query will block up the operation of any software system thus rendering it in a broken state.

Software Development 52

Software Development ML 52

IBM Journey to AI blog

APRIL 29, 2024

Krishna Maheshwari from NeuroBlade highlighted their collaboration with the Velox community, introducing NeuroBlade’s SPU (SQL Processing Unit) and its transformative impact on Velox’s computational speed and efficiency. He shared insights into Velox Wave and Accelerators, showcasing its potential for acceleration.

AI 160

AI AI 160

AWS Machine Learning Blog

JUNE 13, 2023

The natural language capabilities allow non-technical users to query data through conversational English rather than complex SQL. The AI and language models must identify the appropriate data sources, generate effective SQL queries, and produce coherent responses with embedded results at scale.

Generative AI 69

Generative AI Metadata LLM Large Language Models 69

Unite.AI

JUNE 22, 2023

At Crashlytics, I was really struck by the difference in quality and ease of use between the dashboards we had on the product side (Google Analytics, real-time performance monitoring, A/B testing, etc.) As Head of Consumer Product, part of my responsibilities were working with the finance team to oversee the org's finances.

Large Language Models 325

Large Language Models Machine Learning Deep Learning ChatGPT 325

IBM Journey to AI blog

JULY 17, 2023

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. Our viewpoint is that a single foundation model will not be the best fit for the wide range of enterprise use cases.

Machine Learning 157

Machine Learning AI AI Metadata 157

Topbots

JUNE 29, 2023

Most employees don’t master the conventional data science toolkit (SQL, Python, R etc.). Information might get lost along the way when the requirements are not accurately translated into analytical queries. After parsing a question, an algorithm encodes it into a structured logical form in the query language of choice, such as SQL.

Auto-complete 52

Auto-complete Algorithm Data Scientist Auto-classification 52

IBM Journey to AI blog

APRIL 24, 2023

Data warehousing solutions drive business efficiency, build future analysis and predictions, enhance productivity, and improve business success. Significant developments in big data, cloud computing, and advanced analytics created the demand for the modern data warehouse. Modern data warehousing technology can handle all data forms.

Big Data 226

Big Data Artificial Intelligence Artificial Intelligence Categorization 226

IBM Journey to AI blog

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. For example, is the problem related to declining revenue or production bottlenecks? An e-commerce conglomeration uses predictive analytics in its recommendation engine.

Data Science 137

Data Science Machine Learning Big Data Data Mining 137

Marktechpost

APRIL 24, 2024

It helps build accurate analytical models, reports, and dashboards, covering concepts like navigator buttons, column-level security, etc. The Definitive Guide to DAX As the name suggests, this book is a guide to the DAX language for data modeling and analytics. The book also has DAX equivalents to SQL problem/solution scenarios.

Business Intelligence 90

Business Intelligence Artificial Intelligence Artificial Intelligence Explainability 90

Unite.AI

NOVEMBER 13, 2023

Alper Tekin is Chief Product Officer at Findem an AI talent acquisition and management platform. companies owned by PE firms who took a company from a negative to a positive operating margin or to give you a list of loyal product managers who worked for a B2B startup and saw it through a large Series C. Census Bureau, of course.

Automation 147

Automation Machine Learning Algorithm AI 147

IBM Journey to AI blog

NOVEMBER 3, 2023

In this spirit, IBM introduced IBM Event Automation with an intuitive, easy to use, no code format that enables users with little to no training in SQL, java, or python to leverage events, no matter their role. Hungry for more?

Automation 189

Automation Big Data Data Science Python 189

Marktechpost

JULY 18, 2023

These sources include websites, mobile apps, CRM platforms, on-premises databases, legacy data systems, analytics tools, and SaaS platforms. Securely deliver data to an appropriate analytics location. For a more thorough analysis, combine data from social networks, online analytics, and customer service in one location.

ETL 52

ETL Data Integration Business Intelligence Automation 52

IBM Journey to AI blog

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. This lets users across the organization treat the data like a product with widespread access. Security Data security is a high priority.

Machine Learning 149

Machine Learning AI AI Automation 149

IBM Journey to AI blog

FEBRUARY 12, 2024

To be productive, teams within an organization require access to events. Instead of requiring skilled Flink structured query language (SQL) programmers, other business teams can immediately extract actionable insights from relevant events. But how can you help ensure that the right teams have access to the right events?

Automation 197

Automation Artificial Intelligence Artificial Intelligence 197

ODSC - Open Data Science

MARCH 13, 2023

Second, there’s a strong trend of data storytelling involved, with communication skills, data analytics, and data visualization being common amongst ML practitioners. What percentage of machine learning models developed in your organization get deployed to a production environment? The answer was simple — a little under 50%.

Machine Learning 94

Machine Learning Data Science Categorization Python 94

IBM Journey to AI blog

JANUARY 18, 2023

It can include technologies that range from Oracle, Teradata and Apache Hadoop to Snowflake on Azure, RedShift on AWS or MS SQL in the on-premises data center, to name just a few. One node of the fabric may provide raw data to another that, in turn, performs analytics. Analytical and transactional worlds come together.

Data Platform 130

Data Platform ETL Metadata Data Discovery 130