IBM Journey to AI blog

OCTOBER 25, 2023

Here’s how CTOs and CIOs can evaluate their technology and data estates, assess the opportunity and chart a path forward. also includes access to the StarCoder LLM, trained on openly licensed data from GitHub. Data availability and governance factors are also considerations when assessing ROI.

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IBM Journey to AI blog

AUGUST 23, 2023

However, consumers and regulators have also become increasingly concerned with the safety of both their data and the AI models themselves. Safe, widespread AI adoption will require us to embrace AI Governance across the data lifecycle in order to provide confidence to consumers, enterprises, and regulators. This is inherently risky.

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ODSC - Open Data Science

JUNE 8, 2023

These organizations are shaping the future of the AI and data science industries with their innovative products and services. Taipy brings to bear the experience of veteran data scientists and bridges the gap between data dashboards and full AI applications. Check them out below.

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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.

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Towards AI

FEBRUARY 13, 2023

This success is leading to increased pressure on incumbent companies to integrate the latest LLM technology into their products. The AI literacy project TheGP is seeking to connect with talented hackers and quick prototypers who are actively contributing in the fields of engineering, product, or design as part of the AI Literacy project.

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ODSC - Open Data Science

APRIL 20, 2023

You’ll also have the chance to see how our partners’ products and services work in the real world. Much can be accomplished at the ODSC East AI Expo and Demo Hall , from connecting with partner representatives to getting caught up on the latest developments in AI applications.

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ODSC - Open Data Science

MAY 29, 2023

Research and new offerings in AI fuel the field of data science. At ODSC events, we love to highlight our partners’ latest developments, products, services, and research, so that you can see how organizations from around the world are changing the landscape of AI.

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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. A value exchange system built on data products can drive business growth for your organization and gain competitive advantage.

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ODSC - Open Data Science

JULY 20, 2023

The deal has MosaicML become part of the Databrinks Lakehouse Platform. Karthik Narain, global lead for Accenture Cloud First, said of the acquisition, “We will combine Nextira’s AI, machine learning, and data and analytics abilities with Accenture’s approach to using modern data platforms on the cloud.

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IBM Journey to AI blog

JANUARY 18, 2023

Data platform architecture has an interesting history. A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. It is too expensive.

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The MLOps Blog

JANUARY 23, 2023

Data versioning control is an important concept in machine learning, as it allows for the tracking and management of changes to data over time. As data is the foundation of any machine learning project, it is essential to have a system in place for tracking and managing changes to data over time.

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IBM Journey to AI blog

APRIL 24, 2023

The dependence on remote internet access for business, personal, and educational use elevated the data demand and boosted global data consumption. Additionally, the increase in online transactions and web traffic generated mountains of data. Enter the modernization of data warehousing solutions.

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IBM Journey to AI blog

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

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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.

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IBM Journey to AI blog

OCTOBER 12, 2023

Connecting AI models to a myriad of data sources across cloud and on-premises environments AI models rely on vast amounts of data for training. Once trained and deployed, models also need reliable access to historical and real-time data to generate content, make recommendations, detect errors, send proactive alerts, etc.

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IBM Journey to AI blog

AUGUST 1, 2023

Together with data stores, foundation models make it possible to create and customize generative AI tools for organizations across industries that are looking to optimize customer care, marketing, HR (including talent acquisition) , and IT functions. An open-source model, Google created BERT in 2018.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Through live data analysis and predictive forecasting, AI tools can help employees working in network operations centers and network engineers to mitigate congestion and downtime. AI relies on data, but many organizations still operate various siloed repositories.

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IBM Journey to AI blog

OCTOBER 20, 2023

AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. trillion is likely to come from increased productivity, and USD 9.1 AI plays a pivotal role as a catalyst in the new era of technological advancement. trillion in value.

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IBM Journey to AI blog

MAY 9, 2023

Unlike traditional ML, where each new use case requires a new model to be designed and built using specific data, foundation models are trained on large amounts of unlabeled data, which can then be adapted to new scenarios and business applications. AI is already driving results for business. Watsonx.ai The second is access.

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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. “IBM’s launch of watsonx was an awakening, and it has inspired us to deliver unprecedented innovations for our clients.”

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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. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

With the increasing importance of processing data where work is being performed, serving AI models at the enterprise edge enables near-real-time predictions, while abiding by data sovereignty and privacy requirements. First, enterprises produce a vast amount of unlabeled data, only a fraction of which is labeled for AI model training.

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Marktechpost

JULY 17, 2023

Predictive analytics uses methods from data mining, statistics, machine learning, mathematical modeling, and artificial intelligence to make future predictions about unknowable events. It creates forecasts using historical data. Predictive analytics can make use of both structured and unstructured data insights.

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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. Codd published his famous paper “ A Relational Model of Data for Large Shared Data Banks.” In 1969, retired IBM Fellow Edgar F.

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The MLOps Blog

JANUARY 26, 2024

To generate value from your model, it should make many predictions, and these predictions should improve a product or lead to better decisions. For this, we have to build an entire machine-learning system around our models that manages their lifecycle, feeds properly prepared data into them, and sends their output to downstream systems.

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John Snow Labs

JULY 28, 2023

In the field of healthcare, LLMs hold immense potential for a wide range of applications, from clinical note summarization to medical data de-identification. This approach safeguards both the privacy and intellectual property of healthcare providers, allowing them to harness the power of LLMs while maintaining full control over their data.

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The MLOps Blog

JUNE 27, 2023

Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. For example, neptune.ai and Pandas or Apache Spark DataFrames.

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IBM Journey to AI blog

JULY 27, 2023

Additionally, AI can increase productivity in HR by 40% and in application modernization by 30%. Request a demo to see how watsonx can put AI to work There’s no AI, without IA AI is only as good as the data that informs it, and the need for the right data foundation has never been greater.

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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. Such data volumes are not easy to move, migrate or modernize. The challenges of a monolithic data lake architecture Data lakes are, at a high level, single repositories of data at scale.

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IBM Journey to AI blog

SEPTEMBER 25, 2023

The magic behind Uber’s data-driven success Uber, the ride-hailing giant, is a household name worldwide. But what most people don’t realize is that behind the scenes, Uber is not just a transportation service; it’s a data and analytics powerhouse. Consider the magnitude of Uber’s footprint. What is Presto?

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