Oct 3, 2023
•9 minute read
ML
Democratizing AI-Powered Automation with UiPathIn this fast-paced modern world, companies frequently rush to incorporate cutting-edge technologies into their workflows, battling the challenges of labor-intensive tasks, interfacing with older software, and overseeing manual operations. However, it's essential to understand that Generative AI represents only one component of a broader digital transformation. When combined with enterprise automation, businesses can truly harness the immense potential of Generative AI.
UiPath specializes in automation, with a longstanding focus on Robotic Process Automation (RPA). Since the beginning, Artificial Intelligence has been an integral component of its offerings. The primary architecture of UiPath’s initial software suite is AI-driven, reflecting its sustained commitment to AI innovation. However, while AI is foundational to UiPath’s operations, the company specifically veered away from a generic AI model, focusing on purpose-driven AI tailored for optimal automation utility. The company is now also integrating Generative AI throughout the UiPath Platform, seamlessly blending it with the essential data, context, governance, and controls required for its effective and safe deployment in enterprise environments. The UiPath Platform combines the robust capabilities of Generative AI with specialized AI models powered by automation. The integration between Generative AI and specialized models, grounded in authentic business data, equips automation robots to comprehend, rationalize, and innovate.
UST recognized as a Leader in Intelligent Automation Services by ZinnovUST, a digital transformation solutions company, has been recognized as the leading provider of Intelligent Automation (IA) Services by Zinnov, a globally recognized management consulting and strategy advisory firm. Zinnov's recognition of UST falls under the Mid-tier Service Providers category in their 2023 Zinnov Zones ratings. This rating is a part of Zinnov's latest Zones evaluation which gauged the capabilities and growth potential of companies operating in the Intelligent Automation sector. UST previously received similar accolades from Zinnov in their 2021 sector ratings, which further solidifies UST's stature as a robust and high-impact solutions provider that is well-positioned to meet future client demands. Within its Zones ratings, Zinnov acknowledges UST's SmartOps platform for its effectiveness and strategic approach to facilitate widespread automation solution deployment on cloud platforms. UST’s comprehensive ecosystem of technology partners across the automation tech stack, the impressive portfolio of service offerings, and a unique consultative engagement approach all contribute to its placement in the prestigious leadership zone of the ratings.
Jul 6, 2023
•2 minute read
Building an AI Strategy for your organization: An executive perspectiveArtificial intelligence and Machine Learning are all the buzz in the business and technology circles. But really understanding AI and all its various flavors can be a challenge. And most leaders and organizations are struggling to figure out the proper use cases for AI within their companies that will generate a tangible return. In this […]
Jun 29, 2023
•1 minute read
Unleash the Power of SAP Data with a Modern Data ArchitectureStockland, a leading creator of connected communities in Australia, has harnessed the power of SAP data through the implementation of S/4HANA and AWS. This modern data architecture enables a centralized view across all business units and assets, while also providing business unit-specific insights. Learn how Stockland leveraged AI/ML to drive informed decision-making and embedded analytics into their operations, revolutionizing their approach to data management.
Jun 14, 2023
•1 minute read
Questions to Help you Define your AI and Digital Strategy with SAPDo you struggle with defining your AI and Digital Strategy with SAP? Artificial intelligence (AI), and machine learning (ML) are transforming the way in which modern enterprises are evolving today.
As companies plan to leverage digital technologies into their enterprise, they begin to ask these three critical questions:
How are companies engaging these solutions for a more intelligent enterprise?
What is the impact of these technologies on the business?
How do I drive value to my business through these technologies?
These decisions encourage companies to focus on where the organization wants to be in the near and far future. With that vision, companies can devise the steppingstones to reach a sturdy AI and digital strategy with SAP — which inevitably involves new digital technologies to get them there including SAP/S/4HANA.
In this webinar, Alan Clarke, SAP Alliance Director for EMEA North for SUSE, and Gerren Mayne, SAP Practice Director for Fujitsu in the UK, discuss the impact of AI, ML, and IoT on the evolving enterprise and how these digital technologies are enabling a future-proof ecosystem for companies.
In this webinar you will:
Explore how to define your AI and digital strategy with SAP
Hear about the benefits of AI and ML on business transformation and data maintenance
Learn how to leverage this technology to drive value
Gain practical tips and tricks to making your business more efficient and protected from risk
Oct 5, 2022
•1 minute read
Harnessing The Power of TinyML in Supply ChainYou are not alone if you have not heard of " TinyML ". The good news is that you are probably already aware of the underlying technology behind this terminology but were unaware of this marketing term assigned to it, sometime in late 2019. So let us first start by understanding what TinyML is all about in the simplest way possible. There is an assumption in the subsequent sections that you are aware of concepts like the Internet of Things (IoT), edge devices, and edge computing. I believe some of the most innovative applications of the power of TinyML are in operations and marketing. In this article, we will explore examples of applications of TinyML in operations and supply chain.
Jun 16, 2021
•6 minute read
SAP Leonardo Vs. TensorFlowMachine learning (ML), considered a subset of artificial intelligence, is growing in popularity among businesses that want to create better computing models with high volumes of data in order to make decisions faster. SAP Leonardo and Google’s TensorFlow are both known, in part, for their ability to prototype and integrate with ML projects. In this article, the author compares the subtle differences between the two solutions to help customers determine which utility will meet their individual ML project needs, including real-life examples that demonstrate how two well-known companies are using each product.
After reading this article you will be able to:
- State several similarities between SAP Leonardo and TensorFlow;
- Identify specific differences between the two solutions; and
- Understand which components might make one solution the best option for your ML project.
Jul 7, 2020
•4 minute read
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