Why Artificial Intelligence (AI) and Machine Learning (ML) investment is Essential?
Steny Sebastian
The Art of the Possible with AI and ML: From AI ideas -> prototypes -> business applications that customers will love. | Igniting Visionary Leadership | Transforming Enterprises with Innovation | Championing Ethical AI
As businesses continue to adapt to the changing landscape of work, automation has become increasingly important. Technologies like Artificial Intelligence (AI) and Machine Learning (ML) are driving this transformation by automating repetitive and mundane tasks, reducing operational costs, and improving efficiency. These technologies allow businesses to allocate resources more effectively, reduce error rates, and improve the quality of work delivered.
For instance, AI can be leveraged to automate tasks such as customer service, inventory management, and scheduling. This reduces the need for manual labour, freeing up resources that can be redirected to other critical areas of the business. Additionally, ML can be used to analyse large datasets, identify patterns, and make predictions. This helps businesses make data-driven decisions, reducing the risk of human error and increasing accuracy.
While AI and ML offer significant benefits to businesses, operationalising these technologies can be challenging. To get the most out of these technologies, businesses need to have a robust MLOps (Machine Learning Operations) framework in place. This involves managing the entire machine learning life cycle, from data ingestion to model development, registration, deployment, validation, monitoring, drift detection, and alerting.
To help businesses operationalise AI and ML, technologies like IBM Watson Studio offer a comprehensive set of capabilities and experience with over 100 million users. IBM has been recognised as a leader in the 2022 IDC MarketScape report for worldwide machine learning operations platforms, thanks to the comprehensive capabilities offered by IBM's Watson Studio platform.
In addition to providing a platform to manage the machine learning life cycle, IBM offers one of the largest portfolios of tools for ensuring responsible AI adoption. These tools address critical areas such as fairness, explainability, robustness, governance, and security. By adopting responsible AI, businesses can ensure that their AI and ML models are transparent, ethical, and trustworthy.
Apart from the recognition from IDC , Gartner predicts that by 2024, 75% of enterprises will shift from piloting to operationalising artificial intelligence, driving a 5x increase in streaming data and analytics infrastructure. With AI and machine learning technologies, businesses can automate repetitive and mundane tasks, reduce operational costs, and improve efficiency, all while discovering new opportunities and gaining the full value of their data from diverse sources, faster.
IBM's Watson Studio has been recognised as a leader in the 2022 IDC MarketScape report for worldwide machine learning operations platforms, demonstrating IBM's commitment to providing comprehensive and reliable solutions for customers' machine learning needs. This recognition comes as no surprise, given that IBM has over 100 million users and offers one of the largest portfolios of tools for ensuring responsible AI adoption. IBM's Watson Studio is at the forefront of this trend, offering proven capabilities and experience to help businesses harness the power of AI and drive business success.
Read the full IDC MarketScape report to learn more about the assessment.
Analyst reports
The Forrester Wave on PAML - Deep dive into how IBM is named a leader in The Forrester Wave™: Multimodal Predictive Analytics and Machine Learning (PAML), Q3 2020. Create your checklist
Gartner newsletter on ModelOps - Access your complimentary executive newsletter featuring two Gartner research reports. Get two reports
Forrester TEI on explainable AI - See the benefits of model monitoring in New Technology: The Projected Total Economic Impact™ of Explainable AI and Model Monitoring in IBM Cloud Pak for Data. Get the asset
ESG technical validation - See the results of how IBM Watson Studio on IBM Cloud Pak for Data helps you automate AI lifecycles. Read the report
451 Research infographic - Check out the infographic: ModelOps and Intelligent Automation as Enablers of Transformational Change. Download (595 KB)
451 Research brief -Explore the value of building ModelOps with intelligent automation for cloud-native apps in this 451 Research brief. Read the brief
Forrester AI 2.0 - Learn how to upgrade your enterprise with five next-generation AI advances. Read the report
Investing in AI technologies like Watson Studio offers many benefits to customers and their executive leadership. Trust is a crucial component of any AI implementation, and IBM enables data privacy, compliance, and security across highly regulated industries, providing an open, diverse ecosystem that promotes responsible use of AI. IBM's approach to AI governance helps organisations implement responsible and trustworthy AI that delivers confidence in the outcomes.
Natural language processing (NLP) technologies are critical for organisations looking to extract insights from complex data without requiring sophisticated data science skills. IBM Watson Studio leverages large language models (LLMs) that understand the unique language of various industries and businesses, making it easier for organisations to understand their data and extract insights that can drive better decision-making.
Moreover, automation is a fundamental component of AI, and IBM Watson Studio makes it possible to infuse AI into business processes and IT workflows to automate critical tasks, drive effective and accurate decisions, and free up employees to focus on higher-value work. Harnessing AI with technologies like IBM Watson Studio has the potential to drive business success by helping organisations better serve their customers, reduce costs, and improve productivity.
Implement MLOps and trustworthy AI
MLOps and trustworthy AI refer to a collection of techniques and procedures that enable human users to understand and have confidence in the outcomes and outputs generated by AI algorithms. This includes assessing their anticipated effects and potential prejudices.
Optimise decisions
Decision optimisation simplifies the process of choosing and implementing optimization models, while also allowing the development of dashboards that can be shared to improve teamwork and present results.
Develop models visually
Create models visually using intuitive workflows inspired by IBM® SPSS®. These workflows combine open-source libraries and notebook-based interfaces on a unified platform for data and AI.
Access Watson NLP
By utilising the Watson Natural Language Processing Premium Environment, users of Watson Studio can readily access pre-trained, top-tier text analysis models in more than 20 languages. These models are constructed, sustained, and evaluated for quality in each language by specialists at IBM Research and IBM Software.
Accelerate AI development
AutoAI simplifies the AI development process, making it easier for beginners to get started and enabling expert data scientists to accelerate experimentation. By automating data preparation, model development, feature engineering, and hyperparameter optimization, AutoAI saves time and streamlines the AI development process.
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Federated learning
Federated learning enables you to train a machine learning model using data from multiple sources without sharing or moving the data. Each party involved in the federation trains the common model. The training results contribute to improving the accuracy and quality of the model, leading to better business insights, while mitigating the risks associated with data privacy and security.
IBM Watson Studio is a part of the Watson portfolio for business, which provides a range of AI-powered solutions for various industries. The Watson portfolio for business includes solutions for healthcare, finance, retail, and more, enabling organizations to harness the power of AI to solve complex business challenges.
In conclusion, the use of AI-powered technologies like IBM Watson Studio has become a significant trend in recent years. Businesses can gain new opportunities and extract the full value of their data from diverse sources faster with AI-powered technologies. By investing in technologies like Watson Studio, businesses can stay ahead of the curve and drive successful outcomes, and IBM's recognition as a leader in the IDC MarketScape report further underscores the importance of leveraging these technologies.
Want to operationalise and scale AI models quickly? Get started with IBM Watson Studio for free.
Learn more on IBM Watson Studio at the IBM Data, AI and Automation Forum.
Attending events like these is crucial for businesses and their leadership to stay up-to-date with the latest trends and technologies in data management, analytics, strategy, and more. By attending dedicated sessions on technologies like IBM Watson Studio, participants have the opportunity to learn from industry experts and gain valuable insights into best practices, methodologies, and tools to deploy and operationalize these technologies to drive business value.
In addition, these events provide a unique opportunity to network with peers and other professionals in the field, fostering collaboration and the exchange of ideas. This can lead to new partnerships, business opportunities, and a better understanding of the challenges and opportunities facing the industry.
Furthermore, IBM Watson Studio is a key technology for organizations looking to harness the power of AI and machine learning, and these events provide an excellent opportunity to learn more about the platform and its capabilities. With dedicated sessions on topics such as trust, governance, and privacy, attendees can gain a deeper understanding of how IBM is addressing these critical issues and implementing responsible AI principles. Register for the Sydney and Melbourne events using the links below:
Date and Time: Wednesday 22 March 2023 8:30 AM – 5:00 PM AEDT
Location: Hilton Sydney, 488 George St, Sydney NSW 2000, Australia
Date and Time: Wednesday 29 March 2023 8:30 AM – 5:00 PM AEDT
Location: Melbourne Convention and Exhibition Centre, 1 Convention Centre Pl, South Wharf VIC 3006, Australia
White papers, solution briefs and infographics from IBM
The data and AI platform buyer’s guide - Get your questions answered as you consider the right data and AI platform to accelerate digital transformation and achieve successful ROI. Download the guide (2.0 MB)
IBM Cloud Pak for Data solution brief - Get an overview of the IBM Cloud Pak® for Data platform, where you can implement Watson Studio across multiple clouds. Read the brief (88.5 KB)
Watson Studio solution brief -Get an overview of how this product helps data scientists and business analysts build, train and manage models and deliver AI-powered applications. Read the brief (154 KB)
Simplify managing model risk - Discover 5 ways to simplify AI model risk management. View infographic (1.4 MB)
AI governance - Get up to speed on what AI governance is and why it matters. Download the ebook
IBM Research on bias mitigation - Follow this framework to learn how to maintain model fairness. Download the paper (354 KB)
Product tours and tutorials from IBM
IBM Machine Learning Accelerator - Get started with this end-to-end deep learning platform by learning about its features. Start the tutorial
Creating SPSS modeler flows - Learn how to graphically build and evaluate machine learning models using the IBM® SPSS® Modeler flow feature. Start the tutorial
Modeler flows product tour - Create an SPSS machine learning model that evaluates customer churn risk and scores records. Try the product tour
Training and certification from IBM
Learning journey - Explore demos, e-learning courses and badge quizzes to build foundational knowledge and validate skills.Start learning
How-to videos See how to increase productivity working in a single environment with leading open source and IBM software. Watch the videos
Watson Studio Basics - Learn more in this video, which is part of the Solution Architect, IBM Cloud Pak for Data product certification. See the training
ML rapid prototyping course - Learn how to create an automated pipeline in this course, Machine Learning Rapid Prototyping with IBM Watson Studio. View the course
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CMInstD, MEngNZ, Chair of AI Forum LLM WG.
1yI am speaking in Melbourne about successfully integrating IBM Watson Assistant and ChatGPT within FranklyAI - look forward to seeing everyone there. #Beca
Senior AI Applications Technical Sales | IBM Data & AI | Generative AI | Digital Assistants | Natural Language Processing | Data Science | Machine Learning | Artificial Intelligence
1yNot long now. Registrations open in 40mins..
Senior Data & AI Governance Specialist at IBM
1yLooking forwards to join the AI/ML investment discussion with professionals and practitioners in this great forum event, especially in responding to the current acceleration of AI policies and regulations; Responsible AI protecting against data privacy, reduced trust and customer loyalty; risk mitigation throughout entire AI workflow; stakeholders increasing beyond traditional players.