HCLTech is a Gold sponsor at the AI for Business Summit 2022 to be hosted in Sydney, Australia. Meet our experts at the 4th annual AI for Business Summit and understand how you can drive data-led digital transformation, learn how to adequately tap into the immense potential of data and how to use AI to create a competitive advantage. The Summit will also bring together the applied AI ecosystem, including innovative enterprises, industry thought leaders, independent researchers to unlock the future of AI as a tool for profitable business growth.
HCLTech will be hosting a keynote session and participating in a panel discussion on scaling AI for business and transforming them into intelligent, digital enterprises. These sessions will help you gain actionable insights on reimagining the future of AI-driven enterprise.
Date & Time: 2.10 - 2.30 PM AEST, Thursday, March 31, 2022
Join us for our Keynote session with Michael Kirch – Digital Strategy Practice and Customer Experience Director, APAC, HCLTech and Phil Hermsen – Solutions Director, APME, HCLTech share their business-driven insights on scaling digital transformation for intelligent enterprises using AI.
Michael Kirch – Digital Strategy Practice and Customer Experience Director, APAC, HCLTech
Michael is a Digital Strategy Practice and Customer Experience Director, APAC Principal Consultant/Lead with a career in Design of Digital B2C, B2B experiences in APPS, Web and ECOSYSTEMS for over 18 years. Michael specializes in helping organizations develop and innovate end-to-end Business and Customer Experience programs and related service lines. Michael’s teams deliver in the world of fast-paced Business Intelligence, scaled web and apps design, AI/ML and omnichannel product management, and customer service via a fundamental approach of design thinking as it applies to digital activations. This has quickly become the primary tool for business programs evolving with the technical and Agile innovations required by audiences across omnichannel engagements. ‘Learn fast and stay lean’ is the mantra of modern digital business. Michael’s Agile Enterprise and Digital Delivery and Transformation experience brings with its foundations in evolving Organizational Agility, Data cultures, insights, and Outcome-driven user research, anthropology/psychology of digital cultures at scale, platform development, technical leadership, rapid testing, digital project management, agile delivery data and value, user experience innovation strategies, evolving meaningful Data strategies for Digital 3.0 the era of AI/ML.
Phil Hermsen – Solutions Director, APME, HCLTech
A solution and data insight behaviorist/evangelist/strategist; with over 25 years of expertise in applying data science to tackle and solve real-world problems. Experience in multi-verticals including retail, financial service, insurance, government, utilities, and mining. He has applied these skills to solving problems working on the client-side and delivering these solutions whilst working for some of the world's largest consultancies. He has applied these solutions in both B2B and B2C environments. He has led the development and implementation (in the UK, Australia, and the Asia Pacific), for multi-national/regional companies across all the major cloud providers.
Topic: Addressing the complexities of scaling AI for business profitability and competitive success
Date & Time: 1:00 PM – 1.30 PM AEST, Wednesday, March 30, 2022
We’re excited to be joined by an elite panel at AI for Business Summit, 2022, for the panel discussion with Aruna Pattam, head of AI and Data Science, HCLTech- APAC, alongside other leaders as they explore how enterprises can get up to speed with AI to drive profitable and competitive business value.
Aruna Pattam – Head of AI & Data Science - Asia Pacific & Middle East (APME), HCLTech
Aruna Pattam heads the AI & Data Science practice at HCLTech managing the Asia Pacific and the Middle East region. Aruna has been recognied recently for her contribution to AI including “AI Global Ambassador 2022” by Swiss Cognitive World-Leading AI Network, “AI Changemaker Leader 2022″ by 3AI a leading AI & Analytics community, “The Most Admired Global Indians 2021” by Passion Vista - Global Magazine. Aruna has spent the last 22+ years delivering analytics platforms, decision support systems & analytics solutions using data analytics, artificial intelligence, and machine learning. Aruna is a thought leader, speaker, mentor, blogger, vlogger with the goal of educating and providing awareness on AI to the business and the wider community. She regularly shares informative blogs, storytelling videos etc. aimed at demystifying AI and detailing the ever-expanding AI scope for business transformation.
Dr. Nandita Sharma – Director, Data Science, Australian Taxation Office (ATO)
Dr. Artak Amirbekyan – Head of Data, AI, and ML, Transurban
Joanna Gurry – Chief Data Officer & Executive General Manager, NBN Co.
Dr. Rose Skandari – Data Science Manager, ME Bank
MLOps – For building a trusted AI system
MLOps is the new discipline of machine learning that will make the machine learning models more ethical, scalable, and explainable. It also provides well-defined frameworks for end-to-end model management, from data collection to operationalizing an end product with oversight in place. It is the next evolution of machine learning and will play a critical role in creating a trusted and ethical AI system as they go from theory to practice. Read the blog to learn more.
Artificial Intelligence defined in simple terms
When you think about artificial intelligence, many futuristic images come to mind. However, AI is quickly becoming a standard part of our everyday lives and businesses must learn. Businesses use machine learning in their everyday activities. So, they need to understand how machine learning works to take advantage of this powerful technology in their business operations. In the future, AI, ML, and DL will do much more than what they can today. They will also have a bigger effect on our lives, from social media to mobile phones, autonomous vehicles, wearable devices, home assistants, chatbots, and so many others. Read the blog to learn more.
Unlocking the potential of your enterprise data with AI
Enterprise data forms a key part of the modern-day digital transformation strategy. However, for leveraging the value that data represents for businesses today, what happens after you have set your data strategy into action makes all the difference. This is true for businesses across all industries. With AI making significant leaps in the customer experience arena, digital business is now ripe for impactful transformation that is bound to bring significant value to the table. The times call for a reinvention of your CX transformation journey with artificial intelligence. This technology, and its use cases, which have demonstrated high ROI across all industries, are the key to squeezing the most out of your enterprise data as your data strategy goes from theory to practice in earnest. Read the blog to learn more.
The promise of AI – Addressing the challenges that enterprises face in their AI-driven data transformation journey
As the world moves towards digitalization, organizations embrace AI at an enterprise level, which promises to provide considerable benefits for businesses and economies through its contributions to productivity growth, customer experience, and innovation. But despite substantial advances in AI, organizations still face business and technical challenges to adopt AI across their value chains. At HCLTech, we understand the complexities of business processes underpinned by IT infrastructure, data, and security, which pave the way to identify the right business use case and the right technical infrastructure to support modern AI applications. Visit the microsite to learn more.
The AI frontier – Driving reliable and stable IT operations
With the increasing adoption of the concepts of Site Reliability Engineering (SRE) in mainstream enterprises, automation is becoming more intrusive in IT operations. From detecting anomalies to suggesting ways to remediate them, AI and machine learning models that analyze data patterns in systems have shown the potential to streamline every phase of operations and development. They find their place in most of DevOps and SRE implementations. But as it has become evident that the value of any technology is only as good as its implementation. That will continue to be the key differentiator for effective AI and ML adoption in an enterprise. Read the blog to learn more.
Palisade.ai – Scaling machine learning models across the enterprise to power data-driven transformation
Machine Learning (ML) has empowered a broad range of industries, including life sciences, manufacturing, consumer goods, financial services, and telecom. Despite its ubiquity, many enterprises face myriad challenges and shortcomings in developing, deploying, and managing their Machine Learning applications and find it difficult to shift from experimentation to production grade AI. The need to adopt DevOps practices in ML to increase automation whilst addressing business and regulatory requirements is becoming a foundational need that’s converging into a set of common practices, tools and governance functions under Machine Learning Operations or MLOps. Visit the microsite to learn more.