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lakehouse-ai Blog Related Topics 
databricks
APRIL 16, 2023
Key conclusions As an organization's data volume grows, a lakehouse keeps cost low. Organizations require an AI/machine learning platform that is deeply integrated.
175 
databricks
OCTOBER 19, 2023
Machine learning (ML) is more than just developing models; it's about bringing them to life in real-world, production systems. But transitioning from prototype.
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How to Optimize the Developer Experience for Monumental Impact
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
Leading the Development of Profitable and Sustainable Products
databricks
SEPTEMBER 27, 2023
This blog is authored by Ben Dias, Director of Data Science and Analytics and Ioannis Mesionis, Lead Data Scientist at easyJet Introduction to.
259 How to Optimize the Developer Experience for Monumental Impact
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
Leading the Development of Profitable and Sustainable Products
databricks
DECEMBER 12, 2023
Introduction Databricks Lakehouse Monitoring allows you to monitor all your data pipelines – from data to features to ML models – without additional too.
287 
databricks
JUNE 27, 2023
Generative AI will have a transformative impact on every business. Databricks has been pioneering AI innovations for a decade, actively collaborating with thousands.
278 
databricks
APRIL 26, 2023
One of Lakehouse's outstanding achievements is the ability to combine workloads for modern use cases, such as traditional BI, machine learning & AI.
255 
databricks
OCTOBER 26, 2023
The predictive quality of a machine learning model is a direct reflection of the quality of data used to train and serve the.
235 
databricks
JANUARY 17, 2023
A new data management architecture known as the data lakehouse emerged independently across many organizations and use cases to support AI and BI.
223 
ODSC - Open Data Science
MAY 7, 2024
Learn about cutting-edge developments in AI and data science from the experts who know them best on ODSC’s Ai X Podcast. Each week we release an interview with a leading expert, core contributor, experienced practitioner, or acclaimed instructor who is helping to shape the future of the AI industry through their work or research.
IBM Journey to AI blog
MAY 31, 2023
Presto is an open-source, fast and reliable SQL query engine that provides one simple ANSI SQL interface for all your data analytics and your open lakehouse. The virtual show will feature many marquee users sharing how they use Presto to power their data analytics and lakehouses. Why Presto and IBM?
91 
IBM Journey to AI blog
APRIL 25, 2023
In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy.
Data Science Blog
FEBRUARY 7, 2023
Auch bei Process Mining tut sich gerade viel, Machine Learning hält Einzug ins Process Mining, Prozesse können immer granularer analysiert werden, auch unstrukturierte Daten können unter Einsatz von AI mit in die Analyse einbezogen werden usw. Was gerade zum Trend wird, ist der Aufbau eines Data Lakehouses.
IBM Journey to AI blog
SEPTEMBER 21, 2023
Generative AI and large language models are poised to impact how we all access and use information. But as organizations race to adopt these new technologies for business, it requires a global ecosystem of partners with industry expertise to identify the right enterprise use-cases for AI and the technical skills to implement the technology.
114 
IBM Journey to AI blog
NOVEMBER 27, 2023
According to a Gartner® report , “By 2026, more than 80% of enterprises will have used generative AI APIs or models, and/or deployed GenAI-enabled applications in production environments, up from less than 5% in 2023.”* The watsonx.governance toolkit and watsonx.ai
79 
IBM Journey to AI blog
SEPTEMBER 11, 2023
We are in the midst of an AI revolution where organizations are seeking to leverage data for business transformation and harness generative AI and foundation models to boost productivity, innovate, enhance customer experiences, and gain a competitive edge. Watsonx.data on AWS: Imagine having the power of data at your fingertips.
114 
IBM Journey to AI blog
SEPTEMBER 6, 2023
Generative AI is powering a new world of creative, customized communications, allowing marketing teams to deliver greater personalization at scale and meet today’s high customer expectations. Enterprise marketing teams stand to benefit greatly from generative AI, yet introduction of this capability will require new skills and processes.
122 
IBM Journey to AI blog
APRIL 9, 2024
Through a partnership spanning more than 25 years, IBM has helped the Augusta National Golf Club capture, analyze, distribute and use data to bring fans closer to the action, culminating in the AI-powered Masters digital experience and mobile app.
86 
Data Science Blog
MARCH 14, 2023
Von Big Data über Data Science zu AI Einer der Gründe, warum Big Data insbesondere nach der Euphorie wieder aus der Diskussion verschwand, war der Leitspruch “S**t in, s**t out” und die Kernaussage, dass Daten in großen Mengen nicht viel wert seien, wenn die Datenqualität nicht stimme. Artificial Intelligence (AI) ersetzt.
147 
IBM Journey to AI blog
DECEMBER 5, 2023
As the retail industry witnesses a shift towards a more digital, on-demand consumer base, AI is becoming the secret weapon for retailers to better understand and cater to this evolving consumer behavior. Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content.
95 
IBM Journey to AI blog
APRIL 29, 2024
You can read more about why Velox was built in Meta’s engineering blog. Velox at IBM Presto is the engine for watsonx.data , IBM’s open data lakehouse platform. Remus Lazar, VP Data & AI Software at IBM presented Velox’s journey within IBM and vision for its future.
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ODSC - Open Data Science
APRIL 4, 2024
Data Analytics in the Age of AI, When to Use RAG, Examples of Data Visualization with D3 and Vega, and ODSC East Selling Out Soon Data Analytics in the Age of AI Let’s explore the multifaceted ways in which AI is revolutionizing data analytics, making it more accessible, efficient, and insightful than ever before.
IBM Journey to AI blog
OCTOBER 4, 2023
Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. The first step for successful AI is access to trusted, governed data to fuel and scale the AI. All of this supports the use of AI.
85 
Towards AI
FEBRUARY 13, 2023
Last Updated on February 13, 2023 by Editorial Team What happened this week in AI by Louis ChatGPT and generative AI are still hot topics this week. Open AI has launched several integrations with Microsoft as well as details of its subscription plan for ChatGPT. Big Tech was moving cautiously on AI.
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Alation
NOVEMBER 2, 2022
And it aligns with our vision of also expanding the personas that are able to use the Databricks lakehouse within each enterprise.”. The lakehouse] helps businesses really harness the power of data and analytics and AI. Subscribe to Alation's Blog. And data governance is critical to driving adoption.”. But why invest now?
IBM Journey to AI blog
OCTOBER 25, 2023
Implementing generative AI can seem like a chicken-and-egg conundrum. In a recent IBM Institute for Business Value survey, 64% of CEOs said they needed to modernize apps before they could use generative AI. Organizations that have mastered hybrid cloud are well positioned to implement generative AI across the organization.
89 
IBM Journey to AI blog
OCTOBER 16, 2023
Artificial intelligence (AI) adoption is still in its early stages. As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. ” Are foundation models trustworthy?
77 
ODSC - Open Data Science
JULY 20, 2023
Though the economy has been quite dynamic, AI is still a hot market. Then, they are deployed using specific generative AI tools based on each organization’s needs. MosaicML is one of the pioneers of the private LLM market, making it possible for companies to harness the power of specialized AI to suit specific needs.
52 
IBM Journey to AI blog
AUGUST 23, 2023
The recent success of artificial intelligence based large language models has pushed the market to think more ambitiously about how AI could transform many enterprise processes. However, consumers and regulators have also become increasingly concerned with the safety of both their data and the AI models themselves.
Alation
APRIL 14, 2023
In this blog, I’ll share a quick high-level overview of the event, with an eye to core themes. With the rise of AI, the speakers speculated that the future modern data stack may not be designed with human consumers in mind, but set up instead for AI/ML. Let’s dive in! What did attendees take away from the event?
IBM Journey to AI blog
APRIL 24, 2023
Data warehouse is the base architecture for artificial intelligence and machine learning (AI/ML) solutions as well. Data warehousing solutions A superior solution for companies is the integration of existing on-premises data warehousing with data lakehouse solutions using data fabric and data mesh technology.
IBM Journey to AI blog
JANUARY 18, 2023
This time, at least three different data platform solutions are emerging: Data Lakehouse, Data Fabric, and Data Mesh. Data lakehouse: A mostly new platform. Concept of lakehouse was made popular by Databricks. Data lakehouse was created to solve these problems. Data lakehouse was created to solve these problems.
52 
IBM Journey to AI blog
NOVEMBER 14, 2023
Data monetization is a business capability where an organization can create and realize value from data and artificial intelligence (AI) assets. Advanced data management software and generative AI can accelerate the creation of a platform capability for scalable delivery of enterprise ready data and AI products.
113 
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?
IBM Journey to AI blog
MARCH 14, 2024
Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. Such infrastructure should not only address these issues but also scale according to the demands of AI workloads, thereby enhancing business outcomes. Let’s delve into the database portfolio from IBM available on AWS.
83 
IBM Journey to AI blog
SEPTEMBER 19, 2023
Generative artificial intelligence (AI) burst into the mainstream in 2023, lighting a fire under businesses to integrate enterprise-grade versions into their processes. CSPs and NEPs usually have huge support centers and IBM has the potential to help transform workflows between all ecosystem players.
118 
Alation
JANUARY 26, 2023
Author Bio: Pohan Lin – Senior Web Marketing and Localizations Manager Pohan Lin is the Senior Web Marketing and Localizations Manager at Databricks , an AI provider connecting the features of TensorFlow Python , data warehouses and data lakes to create lakehouse architecture.
IBM Journey to AI blog
OCTOBER 12, 2023
But the implementation of AI is only one piece of the puzzle. The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly.
83 
IBM Journey to AI blog
AUGUST 1, 2023
True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data.
60 
Alation
OCTOBER 21, 2021
But, on the back end, data lakes give businesses a common repository to collect and store data, streamlined usage from a single source, and access to the raw data necessary for today’s advanced analytics and artificial intelligence (AI) needs. So what is a Data Lakehouse? Subscribe to Alation's Blog.
52 
Data Science Blog
NOVEMBER 15, 2023
The database for Process Mining is also establishing itself as an important hub for Data Science and AI applications, as process traces are very granular and informative about what is really going on in the business processes. This aspect can be applied well to Process Mining, hand in hand with BI and AI. Click to enlarge!
245 
Alation
APRIL 4, 2023
Alation delivers extended connectivity for Databricks Unity Catalog , the lakehouse company, and new connectivity for dbt Cloud by dbt Labs , the pioneer in analytics engineering. Users can sample lakehouse data to learn popular uses. Now, users can operationalize this powerful tool across their entire lakehouse.
52 IBM Journey to AI blog
SEPTEMBER 20, 2023
Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications. What are large language models?
90 
IBM Journey to AI blog
DECEMBER 7, 2023
Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.
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