The Generative AI Lakehouse

powered by Turium Ai & IBM watsonx

In the dynamic realm of Data, AI, and Automation, the team at Xaana.Ai and IBM Australia have used the capabilities in Turium.Ai and IBM watsonx to take the Generative AI Lakehouse (AlgoHouse) from concept to Turnkey solution (Meet the team at the information session in multiple cities near you - Details below). The Generative AI Lakehouse is revolutionary as it leverages the power of AI and data management to drive business innovation and efficiency and address the challenges faced by enterprise organisations in their data engineering, analytics, and machine learning processes. It empowers data scientists with a seamless data experience by unifying data management, analytics, and data science functions. This streamlined approach promotes interoperability, automation, security, and governance, enhancing productivity and profitability while enabling data scientists to deliver end-to-end results quickly and efficiently.

The Generative AI Lakehouse is a strategic asset for data decision-makers. It provides a centralised solution that consolidates data tool functionality and simplifies the management of the full data lifecycle. By reducing the complexity of the data environment and improving the employee experience, the Generative AI Lakehouse saves valuable company revenue and fosters a more productive and satisfied workforce. It offers a unique data-centric approach that empowers customers to develop and deploy AI models with speed, reliability, and full governance using Turium Ai Zebra, Generative AI LLM, and IBM watsonx capabilities.

Common challenges organisations face when implementing AI

• Many AI projects prioritise the technology itself over users' actual needs. This can result in technically impressive products that fail to address real-world problems or provide meaningful value.
• Overly ambitious goals and poorly defined project scopes can lead to disappointment and frustration. It's crucial to set realistic expectations and focus on achievable outcomes.
• AI models heavily rely on training data. If the data is of poor quality, insufficient, or biased, the resulting AI product may be unreliable or produce inaccurate results.
• The need for more governance and oversight in AI projects. These initiatives can quickly become unwieldy without proper guidance, leading to escalating expenses and unforeseen obstacles. The excitement surrounding generative AI can sometimes overshadow the crucial need for meticulous planning and execution.
• Building successful AI products requires a multidisciplinary team with expertise in data science, engineering, and other relevant fields. Many organizations need more talent to tackle complex AI projects effectively.
• Navigating the Complexities of Generative AI - The allure of readily available generative AI tools, often offered for free or bundled with personal devices, can also create a misleading perception of their value for businesses. While initial experimentation may show promise, the reality of scaling these models for enterprise use often reveals hidden costs and complexities.

Benefits of our Turnkey Solution Generative AI Lakehouse

The obvious question is, why did the Xaana.Ai and IBM teams devise a turnkey model?

The answer lies in addressing organisations' multifaceted challenges when implementing AI solutions. A turnkey model offers a comprehensive, streamlined approach that mitigates these challenges and ensures deployment and integration.

AlgoHouse is a comprehensive, end-to-end solution designed to streamline the development and deployment of AI solutions. It addresses the common challenges organisations face when implementing AI, such as data quality issues, unrealistic expectations, and lack of expertise.

• Data-Centric Approach: AlgoHouse prioritises data quality and governance, ensuring that AI models are trained on accurate, reliable, and unbiased data. This mitigates the risk of biases, hallucinations, and toxic output in AI-generated content.
• Realistic Expectations and Clear Goals: AlgoHouse helps organisations define clear and achievable goals for their AI projects, ensuring that expectations are aligned with the technology's capabilities. Like the financial Lakehouse use case explained below.
• Expert Guidance and Support: Using the Initial Operating Capability from Xaana.Ai and Client Engineering from IBM and their combined expertise in AI and data management, provides comprehensive support throughout the AI project lifecycle, from ideation to deployment. This includes assistance with data preparation, model selection, training, and deployment.
• Start Fast, Prove Value, Scale Broadly: The Xaana.Ai Initial Operating Capability - IOC is a proven, rigorous approach to help businesses select, configure, and implement an application within just 5—8 weeks, showcase economic value, and set the foundation for accelerated deployment across the enterprise. The turnkey solution provides the fastest ROI in 5-8 weeks by enabling two streams e-invoicing in parallel with Generative AI Lakehouse.
• With this turnkey solution, the customers gain GLOBAL EINVOICING COMPLIANCE. (see details below).

Turium Ai makes it so easy for the data to be ingested with shortcuts to other cloud repositories, pipelines, and dataflows to allow end-users to leverage all their data. Once that data has been pulled, users can automatically map/transform the data and then store them in lakehouses with a medallion structure. From there, users can begin to analyse and visualie that data with no additional SQL endpoints, just Turium  AI. Turium  AI offers 500+ pre-built connectors.

Our Integration

• Pre-built Connectors for all applications you possess to unlock the full value of your investment. 500+ pre-built connectors for #SAP, #TechnologyOne, #S4HANA, #Aurion, etc.
• Advanced Data Mapping and Transformation for seamless conversion of data formats and structures between SAP and external databases.
• Real-time Data Reconciliation means that any update made in one system is immediately reflected in others, crucial for operations
• Automatic Error Handling, Self-Healing and Logging for troubleshooting and maintaining data integrity across integrated systems.
• Security and Compliance for encrypted data transfer, OAuth integration for secure authentication, and compliance.
• Scalable Architecture for handling varying loads of data exchange without degrading performance. 

Digitise the Invoicing process

Lakehouse AI Capabilities for Generative AI

AlgoHouse offers several Lakehouse AI capabilities:

• Leverage vector embeddings to power generative AI and LLM applications, from customer support and bots to search and recommendation experiences.
• Rely on curated models for everyday use cases and benefit from optimised model serving for high performance.
• Enable non-technical users to fine-tune models with ease and increase efficiency for technical users.
• Track the quality of data and AI assets simultaneously, ensuring high quality, accuracy, and reliability.
• Log incoming requests and outgoing responses to serving endpoints for near real-time model quality monitoring.
• Empower data analysts and engineers to use LLMs and other machine learning models within SQL queries or ETL pipelines.
• Enhance Unity Catalog for comprehensive governance and lineage tracking of data and AI assets.

IBM watsonx .data empowers you to save on data querying and processing by pairing the right workload to the right engine across multiple storage tiers. You can optimise for price performance using fit-for-purpose query engines such as Presto C++, Presto, and Spark and built-in query optimisation technology, tailoring your solution to your specific needs.

IBM watsonx powers the governance aspect in the turnkey solution, built to help you direct, manage and monitor your organisation’s artificial intelligence (AI) activities. Besides Governing #Turium Zebra generative AI (gen AI) and Turium machine learning (ML) models, the turnkey solution can also monitor your models from #Amazon #Sagemaker and #Bedrock, #Google #Vertex and #Microsoft #Azure. The Turnkey solution evaluates and monitors model health, accuracy, drift, bias and gen AI quality. It accesses robust governance, risk, and compliance capabilities, featuring approval workflows, customisable dashboards, risk scorecards, and reports. It also uses factsheet capabilities to automatically collect and document model metadata across the AI model lifecycle.

Security and Compliance

The platform’s infrastructure, applications, and operations have been developed to comply and align with some of the most rigorous legal and regulatory requirements in industries today.

24x7x365 Support

Xaana’s support services are more comprehensive, personal, and responsive.

Take the next step

Join us for informative sessions in August, hosted at IBM offices in #Brisbane, #Sydney, and #Melbourne. Register your interest; these sessions will provide valuable insights tailored to your role.

Demonstrations of Capability and Use Cases :

During the session, we will demonstrate how AI and machine learning (ML) can enhance financial management, offering detailed cash flow insights and automating financial processes. Integration of e-invoicing transforms how organisations handle their finances and provides various benefits, including:

• Improved Cash Flow: Real-time tracking of invoices and faster processing cycles lead to improved cash flow and enhanced financial oversight.
• Reduced Errors and Fraud: Automated reconciliation capabilities minimize errors and fraud risks, ensuring secure transactions with electronic signatures and encryption.
• Regulatory Compliance: As e-invoicing becomes mandatory in many countries, integrating this technology helps businesses comply with tax regulations by providing real-time access to transaction data for tax authorities.
• Enhanced Accuracy and Forecasting: AI and ML algorithms analyse vast datasets to improve the accuracy of financial planning and forecasting, enabling businesses to make informed decisions based on reliable predictions.
• Real-time Insights: The platform enables near real-time data processing, providing timely insights into cash flow patterns, market trends, and potential risks, allowing for proactive decision-making.
• Advanced Analytics and Visualisation: Advanced finance dashboards equipped with data visualization tools and generative AI capabilities empower businesses to communicate financial data effectively to stakeholders, fostering transparency and collaboration.
• Optimised Spend Management: AI-driven spend management solutions analyze spending patterns, identify cost-saving opportunities, and optimize resource allocation, leading to reduced costs and improved efficiency.
• Growth Opportunities: By leveraging AI to analyse market trends and customer behaviour, businesses can identify growth opportunities and develop data-driven strategies to capitalize on them.

The Synergy of AI Financial Lakehouse and E-Invoicing

Combining e-invoicing with the AI Lakehouse creates a powerful synergy that enhances financial operations. The AI-driven approach ensures accurate cash flow forecasting, reduces manual effort, and improves decision-making capabilities. Additionally, the AI Lakehouse can help businesses automate their accounting processes, which can save time and money. For example, the Lakehouse can automatically extract data from invoices and other financial documents. This data can then generate reports, track expenses, and make payments.

Details:

Register your interest; these sessions will provide valuable insights tailored to your role.

August 14th, 2024 @ 3:00 pm

Brisbane: IBM Office, 345 Queen St, Brisbane City QLD 4000

August 21st, 2024 @ 3:00 pm

Sydney: IBM Office, 259 George St, Sydney NSW 2000

August 28th, 2024 @ 3:00 pm

Melbourne: IBM Office, 60 City Rd, Southbank VIC 3006

Steve Jobs' quote, "Great things in business are never done by one person; they're done by a team of people," emphasises the importance of collaboration and teamwork in achieving significant accomplishments. In a business context, this quote highlights that innovation, success, and growth are rarely the result of individual effort alone. Instead, they stem from the collective contributions, diverse perspectives, and shared commitment of individuals working together towards a common goal.

This quote resonates deeply in our Generative AI Lakehouse, a collaboration solution between Xaana.Ai and IBM AU, using Turium Ai and IBM watsonx. The development and implementation of such an innovative solution require the expertise and dedication of a diverse team of professionals, including data scientists, engineers, and business leaders. The quote serves as a reminder that the success of the Generative AI Lakehouse, like any business endeavour, is not solely attributable to a single individual but to the collective efforts of a team working together, a true testament to the #IBMPartner program (IBM Partner Plus).

IBMers : Kieran Hagan , Kristian Smythe , Matthew Plint Timothy Brown , Imran Hossain , Lye King Tho , Stephen Du , Dilip Siddareddy , Gideon van Schalkwyk , Adam Makarucha

Xaana : Dan Saldi , Priya Rajgarhia , Steny Sebastian

 This article has been peer-reviewed by Stephen Du and Priya Rajgarhia

#GenerativeAI #AI #DataAnalytics #AIgovernance #MachineLearning #BusinessGrowth #Innovation #AItools #AIintegration #DataQuality #TechSolutions #Lakehouse #IBMwatsonx #XaanaAi #FinancialPlanning #EInvoicing #CashFlow #Compliance #CustomerEngagement #PredictiveAnalytics #AIgovernance #DataGovernance #Innovation #BusinessGrowth #AILakehouse