Realizing the Value of Social: Evolving from Social Media to Customer ExperienceTata Consultancy Services
Attivio provides a unified information access (UIA) platform called the Active Intelligence Engine (AIE), having capabilities of enterprise search and business intelligence (BI) to JOIN related and relevant ‘content’ and ‘data’ with Google-like full text search and analytics with standard SQL.
Nonprofit organizations that do focus on technology see a major advantage in productivity, efficiency, and flexibility in their industry.
Here, we have a quick summary of five technology trends that you should be considering in 2018 as a nonprofit organization.
Original post: http://www.proserveit.com/5-nonprofit-technology-trends-2018/
Big Data, Trends,opportunities and some case studies( Mahmoud Khosravi)Mahmood Khosravi
Humans have been generating data for thousands of years. More recently we have seen
an amazing progression in the amount of data produced from the advent of mainframes
to client server to ERP and now everything digital. For years the overwhelming amount
of data produced was deemed useless
2018 Big Data Trends: Liberate, Integrate, and Trust Your DataPrecisely
What priorities are driving big data implementations? What challenges are companies running into? What are big data implementations being used for? Are people seeing the benefits they expected?
Annually, we send out a survey to find out what is on the minds of people either piloting a Hadoop or Spark program, or deep in the thick of it. Almost 200 professionals from a variety of roles — data scientists, CTO’s, developers, architects and IT managers — all weighed in. They let us know what matters to them when it comes to the big data world. View this webinar on-demand to see what we learned.
Vol 1 of the training video gives an overview of:
What is Big Data?
Why, where & when of Big Data
Differentials of Big Data
Potential of Big Data application
Risks involved in executing Big Data projects
Future of Big Data
Protecting Corporate Data When an Employee Leaves: Survey and Best PracticesDruva
Employees leave organizations each year, but did your sensitive data leave with them? Osterman Research found that 39% of companies are not sure that they have recovered all corporate data assets, posing a significant risk in terms of data breach, regulatory and compliance implications, while leaving IT trying to locate and contain sensitive information.
This presentation with Michael Osterman, president of Osterman Research, as he shares new research, and Drew Nielsen, Director of Enterprise Security, Druva. Key learnings include:
* Understanding your organization's data vulnerabilities for data exfiltration
* Recommended technologies, policies, and procedures to protect critical information
* Preparation that can save IT time from potential audits, investigations or litigation
Listen to the webcast: http://bit.ly/2loQU33
Realizing the Value of Social: Evolving from Social Media to Customer ExperienceTata Consultancy Services
Attivio provides a unified information access (UIA) platform called the Active Intelligence Engine (AIE), having capabilities of enterprise search and business intelligence (BI) to JOIN related and relevant ‘content’ and ‘data’ with Google-like full text search and analytics with standard SQL.
Nonprofit organizations that do focus on technology see a major advantage in productivity, efficiency, and flexibility in their industry.
Here, we have a quick summary of five technology trends that you should be considering in 2018 as a nonprofit organization.
Original post: http://www.proserveit.com/5-nonprofit-technology-trends-2018/
Big Data, Trends,opportunities and some case studies( Mahmoud Khosravi)Mahmood Khosravi
Humans have been generating data for thousands of years. More recently we have seen
an amazing progression in the amount of data produced from the advent of mainframes
to client server to ERP and now everything digital. For years the overwhelming amount
of data produced was deemed useless
2018 Big Data Trends: Liberate, Integrate, and Trust Your DataPrecisely
What priorities are driving big data implementations? What challenges are companies running into? What are big data implementations being used for? Are people seeing the benefits they expected?
Annually, we send out a survey to find out what is on the minds of people either piloting a Hadoop or Spark program, or deep in the thick of it. Almost 200 professionals from a variety of roles — data scientists, CTO’s, developers, architects and IT managers — all weighed in. They let us know what matters to them when it comes to the big data world. View this webinar on-demand to see what we learned.
Vol 1 of the training video gives an overview of:
What is Big Data?
Why, where & when of Big Data
Differentials of Big Data
Potential of Big Data application
Risks involved in executing Big Data projects
Future of Big Data
Protecting Corporate Data When an Employee Leaves: Survey and Best PracticesDruva
Employees leave organizations each year, but did your sensitive data leave with them? Osterman Research found that 39% of companies are not sure that they have recovered all corporate data assets, posing a significant risk in terms of data breach, regulatory and compliance implications, while leaving IT trying to locate and contain sensitive information.
This presentation with Michael Osterman, president of Osterman Research, as he shares new research, and Drew Nielsen, Director of Enterprise Security, Druva. Key learnings include:
* Understanding your organization's data vulnerabilities for data exfiltration
* Recommended technologies, policies, and procedures to protect critical information
* Preparation that can save IT time from potential audits, investigations or litigation
Listen to the webcast: http://bit.ly/2loQU33
International Journal on Cloud Computing: Services and Architecture (IJCCSA)ijccsa
Cloud computing helps enterprises transform business and technology. Companies have begun to look for solutions that would help reduce their infrastructures costs and improve profitability. Cloud computing is becoming a foundation for benefits well beyond IT cost savings. Yet, many business leaders are concerned about cloud security, privacy, availability, and data protection. To discuss and address these issues, we invite researches who focus on cloud computing to shed more light on this emerging field. This peer-reviewed open access Journal aims to bring together researchers and practitioners in all security aspects of cloud-centric and outsourced computing, including (but not limited to):
Top 6 Upcoming Big Data Trends of 2018!Ajeet Singh
Big data is in a constant mode of evolution. It has created huge leaps of growth for businesses who have been using it. The massive increase in the volume, variety, and velocity of data showcases that big data will definitely encounter some changes worth mentioning in the year ahead, prevailing to leave some indelible mark.
Let’s see a few changes that will hit big data domain in the coming year!
The Problem of data protection is one the most important topics in Data Science and Cyber Security areas. With Cryptolab's CSE we can protect the Privacy and the Security of the data into the Cloud because we can search inside the Encrypted data without decrypt.
MIT Enterprise Forum of Cambridge Connected Things 2017 panel discussion on "IoT Analytics: Using Analytics to Generate High Value from IoT in the Real World"
How the IoT market may change our digital life thanks to the Data Tsunami it ...Dataconomy Media
Laurent Marchou is the IoT & Robotics Director running the open-innovation product marketing team of Orange Innovation Department (Technocentre) thanks to products like Datavenue, Ub-y or LoRa starter kit. He loves working on disruption topics and was in charge of Broadband offers for Wanadoo (a long long time ago :) ) and Product Marketing Manager on mobile market. Laurent is graduate from ESME Engineering School (Telecom Dept with TelecomParisTech) and from HEC with an advance certificate (Business Unit Management)
New Year’s Resolution - Improve Team CommunicationDATAVERSITY
Start your new year off right by breaking down business silos and improving communication across your team. Look at the business processes you already have in place, evaluate them for gaps and overlaps, and identify areas for improvement. Define which data is important to the business, who’s using it, and why. IDERA’s Kim Brushaber will discuss how to use business process models to break down the silos and improve corporate collaboration to foster a data-driven culture.
BigID, OneTrust, IAPP Webinar: Bridging the Privacy Office with ITBigID Inc
Dimitri Sirota, CEO, BigID and Blake Bannon, VP of Product, OneTrust, present will detail best practices for synchronizing a privacy office enterprise privacy management platform with a tool for finding, classifying and correlating PI or PII across the data center and cloud.
Access the webinar presentation to learn:
-What the market landscape for privacy-centric products looks like
-Key considerations for evaluating privacy office software
-Key considerations to consider for privacy-oriented data discovery software
-How to ensure your privacy policy is aligned with operational reality
-Integration scenarios and use cases that connect the privacy office with IT
DISUMMIT - Rishi Nalin Kumar from DatakindDigitYser
Rishi Nalin Kumar
Chief Scientist at eBench
Half professional, half collaborator, one quarter mathematician. Currently at eBench helping brands understand their consumers and win with their content. Previously leading data science & analytics in large-corporate consumer goods with a light touch of news & media. Proud volunteer at DataKind and a regular on the data & analytics speaker circuit.
Data Science is a form of science that focuses on dealing with huge chunks of data by using modern data analysis tools and techniques to discover hidden patterns, meaningful insights, and make critical business decisions.
A Data Science professional has to utilize complicated machine learning algorithms to develop predictive models. There could be multiple sources present in different formats used in data analysis.
A modern day data management platform driven by the evolved thought process and focus,
- From Data to Metadata engineering and Ontologies
- From Data Swamps to Data Products
- From Data for AI to AI for Data
- From Tech Debts to Data Monetization
International Journal on Cloud Computing: Services and Architecture (IJCCSA)ijccsa
Cloud computing helps enterprises transform business and technology. Companies have begun to look for solutions that would help reduce their infrastructures costs and improve profitability. Cloud computing is becoming a foundation for benefits well beyond IT cost savings. Yet, many business leaders are concerned about cloud security, privacy, availability, and data protection. To discuss and address these issues, we invite researches who focus on cloud computing to shed more light on this emerging field. This peer-reviewed open access Journal aims to bring together researchers and practitioners in all security aspects of cloud-centric and outsourced computing, including (but not limited to):
Top 6 Upcoming Big Data Trends of 2018!Ajeet Singh
Big data is in a constant mode of evolution. It has created huge leaps of growth for businesses who have been using it. The massive increase in the volume, variety, and velocity of data showcases that big data will definitely encounter some changes worth mentioning in the year ahead, prevailing to leave some indelible mark.
Let’s see a few changes that will hit big data domain in the coming year!
The Problem of data protection is one the most important topics in Data Science and Cyber Security areas. With Cryptolab's CSE we can protect the Privacy and the Security of the data into the Cloud because we can search inside the Encrypted data without decrypt.
MIT Enterprise Forum of Cambridge Connected Things 2017 panel discussion on "IoT Analytics: Using Analytics to Generate High Value from IoT in the Real World"
How the IoT market may change our digital life thanks to the Data Tsunami it ...Dataconomy Media
Laurent Marchou is the IoT & Robotics Director running the open-innovation product marketing team of Orange Innovation Department (Technocentre) thanks to products like Datavenue, Ub-y or LoRa starter kit. He loves working on disruption topics and was in charge of Broadband offers for Wanadoo (a long long time ago :) ) and Product Marketing Manager on mobile market. Laurent is graduate from ESME Engineering School (Telecom Dept with TelecomParisTech) and from HEC with an advance certificate (Business Unit Management)
New Year’s Resolution - Improve Team CommunicationDATAVERSITY
Start your new year off right by breaking down business silos and improving communication across your team. Look at the business processes you already have in place, evaluate them for gaps and overlaps, and identify areas for improvement. Define which data is important to the business, who’s using it, and why. IDERA’s Kim Brushaber will discuss how to use business process models to break down the silos and improve corporate collaboration to foster a data-driven culture.
BigID, OneTrust, IAPP Webinar: Bridging the Privacy Office with ITBigID Inc
Dimitri Sirota, CEO, BigID and Blake Bannon, VP of Product, OneTrust, present will detail best practices for synchronizing a privacy office enterprise privacy management platform with a tool for finding, classifying and correlating PI or PII across the data center and cloud.
Access the webinar presentation to learn:
-What the market landscape for privacy-centric products looks like
-Key considerations for evaluating privacy office software
-Key considerations to consider for privacy-oriented data discovery software
-How to ensure your privacy policy is aligned with operational reality
-Integration scenarios and use cases that connect the privacy office with IT
DISUMMIT - Rishi Nalin Kumar from DatakindDigitYser
Rishi Nalin Kumar
Chief Scientist at eBench
Half professional, half collaborator, one quarter mathematician. Currently at eBench helping brands understand their consumers and win with their content. Previously leading data science & analytics in large-corporate consumer goods with a light touch of news & media. Proud volunteer at DataKind and a regular on the data & analytics speaker circuit.
Data Science is a form of science that focuses on dealing with huge chunks of data by using modern data analysis tools and techniques to discover hidden patterns, meaningful insights, and make critical business decisions.
A Data Science professional has to utilize complicated machine learning algorithms to develop predictive models. There could be multiple sources present in different formats used in data analysis.
A modern day data management platform driven by the evolved thought process and focus,
- From Data to Metadata engineering and Ontologies
- From Data Swamps to Data Products
- From Data for AI to AI for Data
- From Tech Debts to Data Monetization
Learn how you can generate revenue, reduce risk and save costs by monetizing your organisations data. Apply advanced machine learning and AI techniques to get insights and generate actions out of your data. Build the robust IT systems to get started with the data and AI.
Modernizing your information architecture with aiModusOptimum
How an AI database can transform your organization with advanced workloads and intelligent data management
https://event.on24.com/wcc/r/2001350/88F16755FE0146440C7857390A93B309?partnerref=On-Demand
5 Questions To Ask Before Getting Started With Data AnnotationInnodata, Inc
While it’s not always easy to turn raw data into smart data, there is one process that helps add vital bits of information to raw data – providing structure to data that is otherwise just noise to a supervised learning algorithm – data annotation.
Ultimately, artificial intelligence can’t succeed without access to the right data. Feeding it the right information with a learnable ‘signal’ consistently added at a massive scale is going to drive constant improvement over time. That’s the power of data annotation. However, before you begin with any data annotation project, it’s important to consider the following questions.
https://innodata.com/blog/5-questions-data-annotation/
Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...Denodo
Watch full webinar here: https://bit.ly/36GEuJO
Traditional data integration is falling short to meet new business requirements - real-time connected data, self-service, automation, speed, and intelligence. Forrester analyst will explain how data fabric is emerging as a hot new market for an intelligent and unified platform.
Cloud-Based IoT Analytics and Machine LearningSatyaKVivek
Among the IT developments that have made it to the forefront in recent times, machine learning and IoT certainly stand out. As with most such technologies, integrating the two can help develop powerful IoT solutions and tackle complex challenges. More specifically speaking, machine learning can be leveraged in cloud based IoT analytics.
Create a single source of truth
The starting point for building a data-driven culture is establishing a single source of truth. We make this easy with Power BI, a modern BI cloud service that connects to all of your data, wherever it lives, in the cloud or on premises, Microsoft or non-Microsoft. It delivers insights to you in any way, anywhere, from mobile to web, as well as embedded in apps, both first party and third party. Office 365 further extends this with versions that allow you to quickly look at differences, auditing and roll back, allowing you to confidently manage the single version of truth.
Analyze & visualize data
The next step is to make it easy to analyze and explore data, then share it out seamlessly. Here we deliver the industry leading analyst tool with Excel, which allows you to ask questions at the pace of your business transformation, in a tool you use daily. Sometimes it's easier for us to spot trends and outliers when data is presented visually. Power BI makes visualization simple and easy. Sometimes we want both. Power BI integrates natively with Excel, so users can easily dive deeper into visualizations from Excel and vice-versa. Together with Visio, you can visualize complex process flows directly into Power BI.
Run your business in real time with live dashboards
All of the visualizations and dashboards you create in Power BI, Excel, and Visio can be programmed to update in real-time, so that you can react to opportunities and threats as soon as they appear.
Put insights at the center of teamwork
Lastly, with the growing importance of teamwork in the modern workplace it’s critical that teams can collaborate on data in real-time. Power BI and Excel both integrate natively with Teams and Office 365, making it easier to create consensus based on data.
Conclusion
All of these capabilities add up to better, faster decision-making – a 2017 study by Forrester found that with Microsoft 365 E5 employees make decisions in 18% less time – think about how much faster your business could move with decisions made in hours or days rather than weeks.
Impact of AI in Transforming Growing BusinessAndrew Leo
AI-powered data processing is creatively disrupting businesses across a diverse range of industries. It is reshaping businesses, boosting efficiency, and unlocking unprecedented levels of accuracy and uncovering new opportunities. Let's discuss the transformative power of AI together.
- Discover how AI streamlines operations
- Uncover insights faster with AI-driven analytics
- Enhance decision-making with predictive algorithms
A knowledge graph is a type of data representation that utilizes a network of interconnected nodes to represent real-world entities and the relationships between them. This makes it an ideal tool for data discovery, compliance, and governance tasks, as it allows users to easily navigate and understand complex data sets.
In this webinar, we will demystify knowledge graphs and explore their various applications in data discovery, compliance, and governance. We will begin by discussing the basics of knowledge graphs and how they differ from other data representation methods. Next, we will delve into specific use cases for knowledge graphs in data discovery, such as for exploring and understanding large and complex datasets or for identifying hidden patterns and relationships in data.
We will also discuss how knowledge graphs can be used in compliance and governance tasks, such as for tracking changes to data over time or for auditing data to ensure compliance with regulations. Throughout the webinar, we will provide practical examples and case studies to illustrate the benefits of using knowledge graphs in these contexts.
Finally, we will cover best practices for implementing and maintaining a knowledge graph, including tips for choosing the right technology and data sources, and strategies for ensuring the accuracy and reliability of the data within the graph.
Overall, this webinar will provide an executive level overview of knowledge graphs and their applications in data discovery, compliance, and governance, and will equip attendees with the tools and knowledge they need to successfully implement and utilize knowledge graphs in their own organizations.
*Thanks to ChatGPT for help writing this abstract.
Similar to 5 questions to ask before bringing AI to your business (20)
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
5 questions to ask before bringing AI to your business
1. 5 questions to ask before
bringing AI to your business
INFRASTRUCTURE
DATA
SECURITY
CULTURE
PARTNERSHIP
2. Is your data architecture
ready for AI?
AI is data hungry. It requires “big data” as much as “clean
data”. A study* found one of the top challenges of any AI
project is data management and analysis. With the
maturity of IoT, data comes in different formats and
sources. Develop a data lake to store a vast amount of raw
data is a good start to ensure data integrity, in order for AI
to generate the right answers.
*Powering the adoption of machine learning:
http://www.belatrixsf.com/downloads/Infografia_Machine_Learning.pdf
3. Have you reviewed the security
and privacy policy?
With the availability of data, AI can develop personalized
offerings. But it can also upset customers with possible data
leakage and invasion of privacy. Evaluating your privacy
practice and security policy is vital. Reviewing the usage
and processing of data must also be part of the planning for
any organizations considering AI. This policy should also be
applied to the external cloud and AI partners.
4. Do you have enough computing power
and network bandwidth to process AI?
AI is resource hungry, but not all companies are structured to
embrace this innovation. Cloud computing and next‐generation IT
infrastructure bring access to scalable computing power. But
conventional network design could also put a toll on system’s
performance. Before jumping into the AI bandwagon, companies
are advised to review their IT infrastructure and network
architecture.
5. Are your employees prepared
to work with machines?
One major advantage of AI is its ability to optimize
workflow. But are the employees ready for such
optimization? Applying design thinking to bring an agile
workflow is a good start. But another issue is corporate
culture. Getting employees ready for a monumental shift
in thinking and the way they work with machines are
critical to embrace AI.
6. Is your business ready to
partner with others?
For many businesses, building AI capabilities on their own
is not an option. AI is still emerging and demand talents
to develop new algorithms and models. These talents can
be hard to find. The answer lies on partnering with the
right AI service providers. The idea of extending one’s
infrastructure to third parties is new, but AI requires such
approach. Organizations that are ready to partner will be
able to take advantage of the AI revolution.