IBM Journey to AI blog

NOVEMBER 14, 2023

Innovating at scale is made possible with IBM Z modernization tools like Wazi Image Builder, Wazi Dev Spaces on OpenShift, CI/CD pipelines, z/OS Connect for APIs, zDIH for data integrations, and IBM Watson for generative AI. Get to know Wazi as a Service The post An introduction to Wazi as a Service appeared first on IBM Blog.

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IBM Journey to AI blog

SEPTEMBER 6, 2023

Real-time data integration As seen in platforms like IBM Planning Analytics , real-time data integrations ensures that budgets are always up to date. Since data from different sources is instantly merged and processed, delays become a thing of the past.

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IBM Journey to AI blog

OCTOBER 30, 2023

AWS’s secure and scalable environment ensures data integrity while providing the computational power needed for advanced analytics. Thus, DB2 PureScale on AWS equips this insurance company to innovate and make data-driven decisions rapidly, maintaining a competitive edge in a saturated market.

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IBM Journey to AI blog

JANUARY 10, 2024

This ensures that financial data and transactions are processed within security-rich enclaves, shielding them from external threats. Moreover, the implementation of multi-party Zero Trust allows clients and 4th party ISVs to run confidential workloads as containers without direct access to the underlying data.

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IBM Journey to AI blog

JANUARY 15, 2024

Another way organizations are experimenting with advanced security measures is through the blockchain, which can enhance data integrity and secure transactions. Explore IBM’s strategy-focused business consulting services The post Unlocking value: Top digital transformation trends appeared first on IBM Blog.

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IBM Journey to AI blog

AUGUST 23, 2023

It is supported by querying, governance and open data formats to access and share data across the hybrid cloud. A strong data foundation is critical for the success of AI implementations. Book a consultation to discuss how IBM data fabric can accelerate your AI journey Start your free trial with IBM watsonx.ai

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IBM Journey to AI blog

JANUARY 12, 2024

This approach enhances data confidentiality by ensuring that only authorized parties possess the necessary decryption keys (or the complete application is running within a secure execution environment), so it cannot be accessed at all.

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IBM Journey to AI blog

JULY 26, 2023

In this blog post, we will delve into the concept of zero-based budgeting, exploring its definition, advantages, disadvantages, implementation steps, and tools needed. These tools provide a centralized platform for top-down and bottom-up budgeting creation, collaboration, scenario modeling, data integration, and reporting.

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Pickl AI

AUGUST 31, 2023

However, analysis of data may involve partiality or incorrect insights in case the data quality is not adequate. Accordingly, the need for Data Profiling in ETL becomes important for ensuring higher data quality as per business requirements. What is Data Profiling in ETL?

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Pickl AI

MARCH 10, 2023

However, despite being a lucrative career option, Data Scientists face several challenges occasionally. The following blog will discuss the familiar Data Science challenges professionals face daily. The process of data integration from multiple sources requires manual entry of data.

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IBM Journey to AI blog

JANUARY 26, 2024

This integrated solution ensures the data integration and information sharing within the company, enhancing inter-system data connectivity to improve the efficiency and quality of maintenance work.

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IBM Journey to AI blog

FEBRUARY 6, 2024

Through the development of cyber recovery plans that include data validation through custom scripts, machine learning to increase data backup and data protection capabilities, and the deployment of virtual machines (VMs) , companies can recover from cyberattacks and prevent re-infection by malware in the future.

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IBM Journey to AI blog

JANUARY 11, 2024

Some enterprises tolerate zero RPO by constantly performing data backup to a remote data center to ensure data integrity in case of a massive breach. Explore Veeam on IBM Cloud The post Business disaster recovery use cases: How to prepare your business to face real-world threats appeared first on IBM Blog.

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The Stanford AI Lab Blog

NOVEMBER 5, 2021

We’re excited to share all the work from SAIL that will be presented, and you’ll find links to papers, videos and blogs below. The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) will take place next week, colocated with CoNLL 2021. List of Accepted Papers Calibrate your listeners!

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IBM Journey to AI blog

JUNE 12, 2023

For instance, weekly talent reports generated for IBM’s CHRO and CEO needed to be 100% clear of inaccuracies in the data. What’s more, while the HR team members had scripts to check for data ingestion errors and data integrity, they lacked a solution that could proactively identified business errors within the data.

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IBM Journey to AI blog

JANUARY 5, 2023

Both approaches were typically monolithic and centralized architectures organized around mechanical functions of data ingestion, processing, cleansing, aggregation, and serving. Learn more about the benefits of data fabric and IBM Cloud Pak for Data.

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Pickl AI

JUNE 28, 2023

Here comes the role of Data Mining. Read this blog to know more about Data Integration in Data Mining, The process encompasses various techniques that help filter useful data from the resource. Moreover, data integration plays a crucial role in data mining.

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IBM Journey to AI blog

DECEMBER 16, 2022

The solution also helps with data quality management by assigning data quality scores to assets and simplifies curation with AI-driven data quality rules. Finally, her company’s IT department would have had more time to finish their data projects as it would have been less distracted by data requests.

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Pickl AI

APRIL 14, 2023

Falling into the wrong hands can lead to the illicit use of this data. Hence, adopting a Data Platform that assures complete data security and governance for an organization becomes paramount. In this blog, we are going to discuss more on What are Data platforms & Data Governance. Wrapping it up !!!

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Heartbeat

OCTOBER 25, 2023

This integration requires sophisticated computational methods, such as data integration algorithms and network analysis approaches, which enable extracting meaningful insights from multiple layers of biological data. We pay our contributors, and we don’t sell ads.

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Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

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Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

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Unite.AI

AUGUST 24, 2023

By ensuring the newly recovered data doesn't overwrite existing data, and providing users a preview of lost data before restoration, TunesKit focuses on user agency and data integrity. Features: Capability to recover encrypted data, a niche but vital offering.

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IBM Journey to AI blog

JANUARY 9, 2024

This may also entail working with new data through methods like web scraping or uploading. Data governance is an ongoing process in the data lifecycle to help ensure compliance with laws and company best practices. Data integration: These tools enable companies to combine disparate data sources into one secure location.

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DataRobot Blog

MARCH 15, 2022

In our previous healthcare blog , Sally Embrey explained how the integration of health and care services is gathering pace globally and how the creation of Integrated Care Systems (ICSs) by England’s National Health Service (NHS) is the latest example of services being organized around a local population. Learn More.

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ODSC - Open Data Science

JUNE 15, 2023

How to Fine-Tune and Serve LLMs Simply, Quickly, and Cost-Effectively Using Ray + DeepSpeed + HuggingFace In this blog, we share a practical approach on how you can use the combination of HuggingFace, DeepSpeed, and Ray to build a system for fine-tuning and serving LLMs, in 40 minutes for less than $7 for a 6 billion parameter model.

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Pragnakalp

JUNE 8, 2023

Fabric’s core offered services such as Data Factory, Synapse Data Engineering, Synapse Data Science, Synapse Data Warehousing, Synapse Real-Time Analytics, and Power BI.

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Heartbeat

OCTOBER 23, 2023

Data Integration and Interoperability: Healthcare data exists in various formats and systems, making interoperability a significant challenge. Data scientists and machine learning engineers work on integrating diverse data sources, such as electronic health records, wearable devices, and genomics data.

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Pickl AI

SEPTEMBER 22, 2023

Being a Data Analyst myself, I find MS Excel a very powerful tool that can be used for data management including tasks like analyzing, cleaning, and visualizing. By following proper methods, I have been able to master my skills in using Excel and conducting Data Validation. What is Data Validation in MS Excel?

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Topbots

OCTOBER 4, 2023

However, to improve results for specific use cases, developers often fine-tune generative models on small amounts of labeled data. Integrating human feedback through reinforcement learning can further improve a model’s performance by reducing a number of adversarial responses.

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Pickl AI

JULY 25, 2023

Data Engineering: Laying the Foundation for Data Success While Data Science deals with data analysis and insights, Data Engineering focuses on the design, construction, and maintenance of robust data pipelines and infrastructure.

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The MLOps Blog

MARCH 15, 2023

Some of the popular cloud-based vendors are: Hevo Data Equalum AWS DMS On the other hand, there are vendors offering on-premise data pipeline solutions and are mostly preferred by organizations dealing with highly sensitive data. Hevo automatically detects and duplicates the schema at the data destination.

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Defined.ai blog

SEPTEMBER 5, 2023

Solution : Implement data cleaning protocols and use data validation tools. Regularly audit and cleanse your datasets to maintain data integrity. Integrating Diverse Data Sources Retail sales data can come from numerous channels, making integration complex.

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Pickl AI

MARCH 12, 2023

Significantly, the use of Excel in Data Analysis is beneficial in keeping records of data over time and enabling data visualization effectively. How to use Excel in Data Analysis and why is it important? Let’s find out in the blog! What is Data Analysis?

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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.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

As an Information Technology Leader, Jay specializes in artificial intelligence, data integration, business intelligence, and user interface domains. In this role, he functions as the Global Generative AI Lead Architect and also the Lead Architect for Supply Chain Solutions with AABG.

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Pickl AI

JANUARY 13, 2023

Data integration in different spectrums of life highlights its growing significance. It has become a driving force of transformation, and so a career in Data Science is flourishing. The role of Data Science is not just limited to the IT domain. But to filter the right career opportunity and follow the same is challenging.

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