Automation’s role in digital transformation is nothing new, but the disruptions of recent years have exposed the limitations of our efforts to this point. Does that feel familiar? If so, you’re not.
We’re seeing so many companies double down on the development and deployment of automation as quickly and broadly across their organizations as possible. In other words, hyperautomation.
These efforts include adopting automation platforms with flexible, contingent workflow solutions that drive efficiencies and greater data integrity across multiple complex, data-intensive processes.
To learn more, watch our webinar – featuring guest speaker Maureen Fleming, Program Vice President for IDC's Intelligent Process Automation research, and Andrew Hayden, Sr. Product Marketing Manager at Precisely.
Maureen will share recent research and insights from IDC on the importance of process automation to digital transformation, along with predictions for the future. Andrew will then share some of the challenges we’re hearing from our customers around automating complex, data-intensive business processes, and the features you should look for in an automation platform.
You can expect to come away with insights into:
· How digital transformation and automation are evolving
· How to avoid the key challenges with automation that slow down transformation benefits
· Market perspective from the automation provider’s point of view
· How a complete automation platform supports hyperautomation success
With recent dramatic changes in our global workforce, economy, and environment, the need for digital business transformation is now proven to be critical.
These slides—based on the webinar from leading IT research firm EMA and Redwood Software—explain why you should prioritize digital transformation in your organization and support those efforts with workload automation.
Using Data-Driven Agile Automation to Advance Digital TransformationPrecisely
Digital business refers to a vision of enterprises that are continually transforming their operational models. This paradigm connects every process into a feedback loop that is self-monitoring, self-regulating, and self-healing.
Automation is the heart of digital business, but so is continual augmentation of human productivity. For modern enterprises, the centerpiece is an agile approach that some refer to as “hyperautomation.” At heart, this refers to operational unification of established methodologies—such as business process management (BPM) and event-triggered workflows—with newer techniques such as robotic process automation (RPA) and AI/ML-automated decision optimization.
Join TDWI’s senior research director James Kobielus and invited guest Andrew Hayden from Precisely on this webinar to explore how to use hyperautomation to power continuous digital business transformation. They will discuss such core principles as:
Orchestration of complex processes that leverage blends of BPM, RPA, AI/ML-guided process management, and other approaches to process automation Consolidation and mining of process intelligence to track key performance indicators and drive analytics to continually sense, predict, adapt to, and respond to changing process events, issues, and contexts Empowering business-level process developers through self-service low-code tools for building process automation logicIncorporating human-in-the-loop processes to speed response to issues, bottlenecks, and exceptional circumstances Monitoring and auditing real-time process status through interactive dashboards, event-triggered alerts, process metric logs, and other observability tools
How to build an it transformation roadmapInnesGerrard
An estimated 80 percent of #businesses will need to transform their current IT efforts to keep up with new business expectations and technological developments. These include investments such as cloud computing, IoT and BigData projects.
Integration allows rapid business reconfiguration to create new business models and ecosystems while continually optimizing customer experience and business operations.
IBM Global Technology Services: Partnering for Better Business OutcomesIBM Services
IBM can help you take advantage of the changes in technology – including Cloud, Social, Mobile, and Analytics – and devise the right partnering strategy to drive innovation for your organization.
To keep up with today’s speed of business, organizations are pushing their integration, automation, and orchestration capabilities to the limit, often losing time building from scratch solutions that already exist.
Watch this on-demand webinar from leading IT research firm EMA and BMC to discover how to drive solution adoption within your teams, from Dev to Ops, to ensure consistency and value at speed.
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The technology demands of the modern enterprise are so great that IT departments can have a difficult time keeping up which makes digital innovation in technology and business processes critical.
Read the full blog to learn how a digital transformation platform can help you keep up with the demand for digital innovation: http://ap.pn/2jazcze
Today, the usage of codeless tools has drastically increased and gained immense popularity in the software industry across the globe. It is capable of addressing many challenges within the process of automation. Right at its core, the no-code revolution relies upon AI technology, which enables and facilitates innovation. In addition, the no-code platforms unlock a completely new level of efficiency, quality, and profitability.
With recent dramatic changes in our global workforce, economy, and environment, the need for digital business transformation is now proven to be critical.
These slides—based on the webinar from leading IT research firm EMA and Redwood Software—explain why you should prioritize digital transformation in your organization and support those efforts with workload automation.
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Digital business refers to a vision of enterprises that are continually transforming their operational models. This paradigm connects every process into a feedback loop that is self-monitoring, self-regulating, and self-healing.
Automation is the heart of digital business, but so is continual augmentation of human productivity. For modern enterprises, the centerpiece is an agile approach that some refer to as “hyperautomation.” At heart, this refers to operational unification of established methodologies—such as business process management (BPM) and event-triggered workflows—with newer techniques such as robotic process automation (RPA) and AI/ML-automated decision optimization.
Join TDWI’s senior research director James Kobielus and invited guest Andrew Hayden from Precisely on this webinar to explore how to use hyperautomation to power continuous digital business transformation. They will discuss such core principles as:
Orchestration of complex processes that leverage blends of BPM, RPA, AI/ML-guided process management, and other approaches to process automation Consolidation and mining of process intelligence to track key performance indicators and drive analytics to continually sense, predict, adapt to, and respond to changing process events, issues, and contexts Empowering business-level process developers through self-service low-code tools for building process automation logicIncorporating human-in-the-loop processes to speed response to issues, bottlenecks, and exceptional circumstances Monitoring and auditing real-time process status through interactive dashboards, event-triggered alerts, process metric logs, and other observability tools
How to build an it transformation roadmapInnesGerrard
An estimated 80 percent of #businesses will need to transform their current IT efforts to keep up with new business expectations and technological developments. These include investments such as cloud computing, IoT and BigData projects.
Integration allows rapid business reconfiguration to create new business models and ecosystems while continually optimizing customer experience and business operations.
IBM Global Technology Services: Partnering for Better Business OutcomesIBM Services
IBM can help you take advantage of the changes in technology – including Cloud, Social, Mobile, and Analytics – and devise the right partnering strategy to drive innovation for your organization.
To keep up with today’s speed of business, organizations are pushing their integration, automation, and orchestration capabilities to the limit, often losing time building from scratch solutions that already exist.
Watch this on-demand webinar from leading IT research firm EMA and BMC to discover how to drive solution adoption within your teams, from Dev to Ops, to ensure consistency and value at speed.
App Platforms and Bimodal Strategies Can Help CIOs Fuel Digital InnovationAppian
The technology demands of the modern enterprise are so great that IT departments can have a difficult time keeping up which makes digital innovation in technology and business processes critical.
Read the full blog to learn how a digital transformation platform can help you keep up with the demand for digital innovation: http://ap.pn/2jazcze
Today, the usage of codeless tools has drastically increased and gained immense popularity in the software industry across the globe. It is capable of addressing many challenges within the process of automation. Right at its core, the no-code revolution relies upon AI technology, which enables and facilitates innovation. In addition, the no-code platforms unlock a completely new level of efficiency, quality, and profitability.
In ancient times – February 2020 – EMA research found that more than 50% of IT leaders surveyed were considering new ITSM platforms in the near future. That future arrived with a bang as IT organizations turbo-pivoted to deliver and support unprecedented levels and types of services to a global workforce suddenly working from home.
These slides—based on the webinar from EMA Research and ServiceNow—provide an informed look at building ITSM initiatives that will support business at the speed of life.
These slides--based on the webinar hosted by leading IT analyst firm Enterprise Management Associates (EMA) and Digitate--provide insights into the impact of machine learning on managing workload automation.
Organizations today are discovering new realities around the cloud and data center, IT supply chain management, the modern workplace and digital transformation. For the 2019 Insight Intelligent Technnology™ Index, we surveyed 400 IT professionals to assess how they’re optimizing technology to unlock these growth opportunities. Explore the key takeaways.
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The race for enterprise business process digitalization is raging. IT is often left behind as enterprise budgets for innovation are shifting towards business teams.
During this session, we will present the challenges and our field-tested approaches to catch-up and how to take this opportunity to create new app factories. All the while using low-code and RPA platforms.
You will discover how to capture business demands, and create an operating model for your IT department to stay in control of the applications being deployed, while bringing value at speed.
Nightingale HQ completed a digital review for Midland Steel Reinforcement Supplies to identify opportunities to automate processes and implement digital tools. The review assessed systems across production, finance, R&D and IT to deliver a roadmap for digitalization. Recommendations included consolidating data through a hub, automating workflows, and identifying skills gaps. A plan was made to implement solutions in the short, medium and long term to improve efficiency and support business growth. Midland Steel now has actionable steps to advance their digital transformation strategy.
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Enterprise business is taking a significant leap forward in its ability to maximize business outcomes using Applied AI – conversational and cognitive technologies. Leading organizations are accelerating digital transformation through machine learning, artificial intelligence and virtual assistants designed to streamline and accelerate revenue generation processes.
In this presentation for executives and decision makers, we’ll share insights from the soon-to-be-published Harvard Business Review study on using Applied AI to accelerate B2B Quote-to-Cash processes and commerce. We’ll examine Applied AI emerging trends, best practices, and barriers to adoption.
From Silos to Savings_ Why CIOs Should Prioritize Enterprise Integration.pdfNeev Systems
In the ever-evolving landscape of modern business operations, enterprise integration stands as a linchpin, connecting diverse systems, data, and processes. This transformative force is undergoing a profound shift, and in this exploration, we unravel the key trends shaping the future of enterprise integration, with a keen focus on the nuanced approach of industry leader Neev Systems.
Introduction to Enterprise Integration:
At its core, enterprise integration is the seamless connection of disparate systems, ensuring a harmonious flow of data and processes. The significance of this function cannot be overstated, especially in an era where businesses increasingly rely on a mix of on-premises and cloud-based solutions. This amalgamation of technologies necessitates integration platforms that can navigate the complexities of diverse environments, a domain where Neev Systems has established its expertise.
Navigating the Hybrid and Multi-cloud Landscape:
As organizations pivot towards a blend of on-premises and cloud-based solutions, integration platforms become the linchpin in ensuring cohesive operations. Neev Systems spearheads this evolution, specializing in the synchronization of data and processes across hybrid and multi-cloud environments. This strategic approach empowers organizations to seamlessly integrate legacy systems with cloud-based applications, mitigating the need for costly replacements and ushering in substantial cost savings. The flexibility to scale resources up or down in the cloud aligns seamlessly with Neev Systems' commitment to efficiency in resource allocation.
Infusing Intelligence with AI and Machine Learning:
The integration landscape is witnessing a paradigm shift with the infusion of artificial intelligence (AI) and machine learning capabilities. Neev Systems, at the forefront of this evolution, embeds advanced features that automate intricate tasks such as data mapping and pattern detection. This AI-driven integration not only reduces errors but elevates data quality, leading to more accurate insights and informed decision-making. Through predictive intelligence, Neev Systems anticipates integration challenges, contributing to increased return on investment (ROI). The real-world impact of this integration is tangible, with enhanced operational efficiency and a proactive approach to addressing potential issues.
Connecting in the Internet of Things (IoT) Era:
The proliferation of the Internet of Things (IoT) brings forth new challenges and opportunities in enterprise integration. Neev Systems adapts its integration approaches to seamlessly connect IoT devices, sensors, and data streams with core business systems. The result is an empowerment of organizations to harness the power of IoT data for improved decision-making and operational insights. An illustrative example showcases how IoT integration enables predictive maintenance, a strategic move that reduces maintenance costs and enhances overall operational efficiency.
This document discusses insights from research on customer experiences with IoT implementations. It finds that Managed Service Providers prioritize revenue generation and customer experience, while Enterprises focus on cost reduction and operational efficiency. The document also outlines common challenges for IoT initiatives and best practices for overcoming them at different stages.
The document provides an overview of a presentation on using financial analytics for performance management. It discusses trends in business intelligence and analytics, including the increasing involvement of CFOs and a focus on predictive rather than just historical analytics. It also outlines challenges around data management and describes frameworks for building an analytics support center. Finally, it discusses governance issues and provides examples of analytics tools and platforms from vendors like IBM, Oracle, SAP, and Teradata.
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The document discusses a webinar on optimizing IT costs and value through usage-driven insights. It provides biographies of the two speakers, Dennis Nils Drogseth from Enterprise Management Associates and Will Degener from Scalable Software. It also outlines the agenda which will cover topics like organizational alignment, understanding usage data, how different technology areas benefit from usage insights, and how to plan for ongoing benefits.
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Future-Proofing Asset Failures with Cognitive Predictive MaintenanceAnita Raj
The industry is reeling under the explosion of data generated by smart sensors, motors, actuators, machines, and other “things”. With the pace at which production is happening currently, the last straw would be an asset breakdown. Statistics show that the automotive industry deals with an alarming 800 hours of downtime every month. The cost of such downtime is a staggering US$22,000 per minute, or US$12.6 million a month.
Additionally, data shows that 20% of these breakdowns are common or predictable and that a majority – a shocking 80% – of them are seemingly random instances and cannot be predicted.
According to McKinsey, the Industrial IoT (IIoT) market is worth $11 trillion, and predictive maintenance solutions can help companies save $630 billion over the next 15 years. So, how can manufacturers tap these savings and benefits?
Learn how manufacturer and suppliers can experience the power of Cognitive Predictive Maintenance (CPdM) to avoid unplanned downtimes and drive greater efficiencies.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
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End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
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Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Mind map of terminologies used in context of Generative AI
The Future of Automation: Insights from IDC and Precisely
1. The Future of
Automation:
Insights from IDC and
Precisely
Andrew Hayden, Sr. Product Marketing Manager, Precisely
Maureen Fleming, Program Vice President, AI and
Automation Research, IDC
2. Housekeeping
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Recording and slides
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following the webinar with a link to the recording and slides
19. Agenda
• Automation and digital transformation
• The value of an automation platform
• Success stories
• Artificial intelligence in automation
• Key takeaways
• Fireside Chat
• About Precisely
21. Accelerating digital transformation
Data is the fuel for decision-making today
80% of CEOs
accelerating
digital
transformation
45% of
enterprises
using SAP are
leveraging
automation
67% spending
more on
technology than
people
$60.5 billion
spent
on intelligent
automation in
2027
IDC KPMG KPMG ASUG
22. Complexity is
multidimensional
Data complexity
• Complexity of SAP master
data records
• High-volume data
processes
• Challenges data
complexity creates for
manual data entry and
management processes
Presentation name
22
Process complexity
• Complex, data-intensive
business processes
involving multiple
constituents are a
challenge to automate
• Process governance and
tracking
• Human-in-the-loop
processes pose unique
challenges for
automation
Organizational
complexity
• Multi-departmental
processes
• Competing business
priorities
• Short-term gains vs
strategic initiatives
23. Be more agile
Customer needs:
Go faster Improve the quality and
integrity of your most
important data
24. Technology is a means to
an end: Data is the
currency of digital
transformation
- HfS Blog
27. A complete automation platform
Excel to SAP
Exchange data with SAP
quickly and easily using
Excel
Form & Workflow
Automate and accelerate
SAP business processes
with integrated forms and
workflows
Excel Workflow
Automate and accelerate
SAP business processes
through Excel file
management workflows
Process
Automation
Data
Automation
28. Form &
Workflow
Automate account
creation with forms
and workflow across
multiple contributors
Process
Initiator
Enter basic
account
information
Contributor 1
Contributor 2
Contributor 3
Approver
Start with
create form
SAP
Automate Evolve
Outside
Contributor
Portal
Participan
t
29. Additional automation platform benefits
Connectivity
(APIs)
Governance
Low-code
development
Attended &
unattended
automation
Data quality
Cloud
deployment
31. Example
Results
Value delivered through
automating processes across the
SAP landscape
20,000
Journal entries processed during 4-
day close window
• Speed and improved data quality
• Auditability
• Team continued to work in Excel
50%-75% 90%
Reduction in time to market
• Agility and speed
• Increases competitive advantage
Reduction in cost to process
materials changes
• Lower costs
• Maintain current staffing levels
• Faster ROI
87%
Reduction in time needed to qualify
vendors and materials
• Speed
• Process visibility
• Improved productivity
97%
Reduction in time to create a
customer
• Agility and speed
• Increases competitive advantage
32. Make an impact across your business
Financial
Accounting
Controlling
Sales and
Distribution
Materials
Management
Plant
Maintenance
Asset
Management
Project
Systems
Production
Planning
Quality
Management
Human
Resources
34. Digital Transformation Activities
Data &
Processes
Automation
Cloud
AI/ML
Business Networks and
cross-company collaboration
User Experience
Supply Chain Digitalization
Self-service
End-to-end process
integration
Process Mining
35. AI comes in various flavors
Generative AI Predictive AI
Goal Create new content Make accurate predictions
Algorithms
Complex algorithms and deep learning
based on LLMs
Statistical algorithms based on machine
learning and observations
Output
New content such as text, images,
music, etc.
Predictions such as the likelihood of a
field value or routing destination
36. Material Master Creation
Constant new product
introductions and
changes
Highly manual, complex
process with lots of
possible data entry error
points
Create or update
products
37. Material Master Creation
To improve data
quality, companies
typically set out to
define 100s of data
validation rules
Embed your business
rules
to improve data quality
38. Challenges in establishing business
rules
Heavy reliance on
SMEs and tacit
knowledge
Gaining cross-
functional
alignment is time
consuming
What if you could eliminate the need for many of
these rules by using Artificial Intelligence?
39. Master Data Creation with AI
AI output fields are
used to pre-
populate and
validate form fields
User enters
minimum
number of input
fields
New material
creation request
AI predicts output
fields based on
delivered input
fields
41. Benefits of AI for Automation
• Improve decision-making through recommendations
• Improve data quality through AI-based checks
• Create rules and predictions that are not possible without AI
• Reduction of hard-coded rules
• Reduce time to value
42. Automation: Takeaways
Agility Speed Improved data
quality
Business team
focus
Automation
flexibility
Scalability Proven track
record
Process visibility
45. The global leader
in data integrity software
Our data integrity software, data
enrichment products, and strategic
services deliver accuracy,
consistency, and context to power
confident business decisions.
Brands you trust, trust us
Data leaders partner with us
of the Fortune 100
99
Customers in more than
100
2,500
employees
customers
12,000
countries
Integrate
Enrich Locate
Verify
Data
Integrity
Suite
46. Let’s continue the
conversation…
Contact us
Set up a 30-minute
personalized demo
+1-877-700-0970
“Get in touch” on
www.precisely.com
www.precisely.com
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