💡 Welcome to the exciting journey of AI and evolving Customer Trust Dynamics! 🤖
Source - đź‘Ą Based on Salesforce's 'State of the Connected Customer' Study, 6th Edition.
#Salesforce #AI
Unlocking the Puzzle of Modern Customer Wants.pdfAbhinav Gupta
Â
🛍️ The "State of the Connected Customer" is a fantastic report by Salesforce
🔖 It's a comprehensive study, exploring changing customer engagement in digital transformation, AI era 🤖
🌍 It's based on a survey of 14,300 consumers & and business buyers worldwide.
✨ The key highlights are in the attached slides👇🏼
Cognitive technology: putting the AI in retailPlexure
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By 2020, 85% of retail customer interactions will be managed by artificial intelligence, according to Gartner. Here’s a quick look at some of the ways AI and cognitive technologies are currently being used in retail.
Intelligent Enterprise: How to Create the Customer Experience of the Future? ...Catalina Arango
Â
Customer experience is more important than ever. Even as ML technologies are more commonly used, many organization remain bewildered about what the different technologies can do and how they could be integrated in their business processes in order to drive positive customer experience. A look at examples of enterprises who have improved customer experience by applying advanced analytics into business processes.
Algorithms Over Brands: How to Reach Today’s and Tomorrow’s AI-Augmented Cust...Cognizant
Â
The rise of AI-powered systems is delivering new levels of consumer-augmented intelligence that brands must understand and interact with in order to stay relevant in their business categories.
6 Reasons why you can't afford to go without Marketing AutomationLuiz Cent
Â
Marketing Automation software to help your business find more customers online. Nurture your customers by sending personalized content that engages them based on their behaviors.
Unlocking the Puzzle of Modern Customer Wants.pdfAbhinav Gupta
Â
🛍️ The "State of the Connected Customer" is a fantastic report by Salesforce
🔖 It's a comprehensive study, exploring changing customer engagement in digital transformation, AI era 🤖
🌍 It's based on a survey of 14,300 consumers & and business buyers worldwide.
✨ The key highlights are in the attached slides👇🏼
Cognitive technology: putting the AI in retailPlexure
Â
By 2020, 85% of retail customer interactions will be managed by artificial intelligence, according to Gartner. Here’s a quick look at some of the ways AI and cognitive technologies are currently being used in retail.
Intelligent Enterprise: How to Create the Customer Experience of the Future? ...Catalina Arango
Â
Customer experience is more important than ever. Even as ML technologies are more commonly used, many organization remain bewildered about what the different technologies can do and how they could be integrated in their business processes in order to drive positive customer experience. A look at examples of enterprises who have improved customer experience by applying advanced analytics into business processes.
Algorithms Over Brands: How to Reach Today’s and Tomorrow’s AI-Augmented Cust...Cognizant
Â
The rise of AI-powered systems is delivering new levels of consumer-augmented intelligence that brands must understand and interact with in order to stay relevant in their business categories.
6 Reasons why you can't afford to go without Marketing AutomationLuiz Cent
Â
Marketing Automation software to help your business find more customers online. Nurture your customers by sending personalized content that engages them based on their behaviors.
Strengthen Customer Engagement by Going Beyond Sales Force AutomationSAP Customer Experience
Â
Modern customers are driving change in the way you sell, but today’s sales force automation tools aren't designed to bolster customer engagement. Discover how the latest trends, including the need for rich customer insights, cross-departmental collaboration, and machine learning, can help you transform your sales force to better engage today's customers.
For more from SAP Hybris, please visit: https://hybris.com/en/products/sales
Marketing in the Age of the Connected CustomerMediaPost
Â
Salesforce just released the State of the Connected Customer report, containing insights on the intersection of experience and trust from over 6,700 global consumers and business buyers. We will share these insight and how you can turn insights into action. As marketers, you want to understand your customer and how to connect with them, and this research provides insights on exceeding consumer expectations.
The application of automation and artificial intelligence to mission-critical business processes will more than triple by 2019, reflecting growing confidence in such technologies, new research from Information Services Group (ISG) (NASDAQ: III), a leading global technology research and advisory firm, has found.
Zebra Technologies surveys shoppers, retail decision makers and store associates and finds widely varying perceptions of in-store shopping experiences, by Don Talend, brand storytelling, content strategy and demand generation expert, retail industry
"By 2020, the customer will manage 85% of the relationship with an enterprise without interacting with a human." (Source –Gartner).
Have you heard the term "look where you're going"? Usually referring to someone who isn't paying attention, right? In the case of 2020, and Gartner's prediction, the phrase takes a different meaning; contact centers need to look where they are going with customer interactions. It wasn't very long ago that offering web chats was "state of the art". Fast forward a few years and the "just text me" generation will soon make up a majority of your customer base.
So, how do you prepare?
Here are 5 practical steps you can start doing today to catapult your contact center through the next wave of customer expectations:
1) How to empower agents and customers with consistent information regardless of contact channel.
2) How to begin integrating social channels into your service model (which may include, "first tweet resolution").
3) Mobile customer support? Where do you begin?
4) Use quality and performance measurement to design a better customer experience.
5) How to start automating your contact center processes.
NRF 2019 has confirmed that online and offline experiences are becoming one, putting the consumer at the center of all retail practices. In this report, we decode the main takeaways from NRF 2019.
Discover what the Retail industry will look like in years to come!
The Future of marketing isn't the same for everyone. In this presentation, we'll dig into two different futures. The near term future as demonstrated by what current high performers are doing, and the distant future and what you need to prepare for.
We’ve collected a whole year of Mindshare "Point of View" articles to give you a complete picture of how the industry has evolved in 2017. All POVs are written in the moment and were correct at the time of writing. Things change fast in this industry, so we’ve also given you some trends to look out for in 2018 that we think will matter to your business.
Building customer relationships with intelligent virtual agents: A framework ...Creative Virtual
Â
As part of the first Social Robotics & AI conference held in Oxford in September 2016, Creative Virtual's Founder & CEO, Chris Ezekiel, presented a session on intelligent virtual agents during the Customer Relationships stream.
Einstein Data Detect is a vital tool within Salesforce, designed to identify and protect sensitive data in an organization. It's a proactive solution for safeguarding data by detecting and categorizing it based on sensitivity levels. This comprehensive guide delves into various aspects of Einstein Data Detect, explaining its features, benefits, and usage requirements in a detailed manner.
**What is Einstein Data Detect?**
Einstein Data Detect is an innovative tool in Salesforce's arsenal, specifically developed to spot sensitive data within an organization. It empowers businesses to take quick, proactive steps to ensure this data's security. By identifying sensitive information, organizations can better manage and protect their data assets.
**Editions and Usage Requirements**
Einstein Data Detect is available across various Salesforce editions, including Enterprise, Performance, Unlimited, and Developer. To utilize this tool, organizations require the Salesforce Shield add-on subscription, which enhances the overall data security and compliance capabilities within Salesforce.
**Native Technology**
A standout feature of Einstein Data Detect is its reliance on native Salesforce technology. This dependence ensures that there is no need for third-party services or the movement of data outside the Salesforce platform. By staying within the Salesforce ecosystem, data security and integrity are significantly enhanced.
**Key Highlights**
Einstein Data Detect stands out due to its intelligent learning capabilities. It understands common data patterns and relationships within Salesforce, enabling it to effectively categorize data into High, Medium, and Low sensitivity levels. This categorization is crucial for businesses to prioritize their data protection strategies.
**Data Categorization and Location**
The tool swiftly locates misplaced data across various Salesforce components, including fields, attachments, and documents. This capability is critical in ensuring that sensitive data is not unintentionally exposed or misplaced.
**Automation in Data Identification and Correction**
Einstein Data Detect automates the process of data identification and correction. This automation ensures that the data within Salesforce is clean, consistent, and reliable. By maintaining data integrity, businesses can make better-informed decisions based on accurate data, reports, analytics, and insights.
**Compatibility and Integration**
Einstein Data Detect boasts wide compatibility with various Salesforce offerings. It seamlessly integrates with popular Salesforce applications such as Sales Cloud, Service Cloud, Salesforce Industries, Salesforce Platform, and Work.com. Additionally, it is compatible with numerous AppExchange applications, enhancing its versatility and usefulness across different business scenarios.
Covers the major developments and changes in Salesforce during 2023.
It includes information on new product introductions, updates to existing services, and strategic decisions made by Salesforce.
The post provides insights into how these developments impact Salesforce users and the broader tech industry. For a detailed overview, you can read the full article
provides a comprehensive overview of the key developments in the Salesforce ecosystem throughout 2023. It covers a range of topics including the launch of new products like Automotive Cloud and EinsteinGPT, advancements in low-code platforms, and enhancements in areas like gender identity inclusivity. The article also discusses major conferences, collaborations, and innovations such as integrations with Slack and Tableau, and the introduction of new tools like Marketing GPT, Commerce GPT, and AI Cloud. Additionally, it addresses corporate developments like price changes and executive appointments. For a detailed understanding of the year's pivotal moments in Salesforce, visit the blog post - https://abhinav.fyi/salesforce-2023-recap-from-new-launches-to-app-retirals-and-more/
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Salesforce just released the State of the Connected Customer report, containing insights on the intersection of experience and trust from over 6,700 global consumers and business buyers. We will share these insight and how you can turn insights into action. As marketers, you want to understand your customer and how to connect with them, and this research provides insights on exceeding consumer expectations.
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"By 2020, the customer will manage 85% of the relationship with an enterprise without interacting with a human." (Source –Gartner).
Have you heard the term "look where you're going"? Usually referring to someone who isn't paying attention, right? In the case of 2020, and Gartner's prediction, the phrase takes a different meaning; contact centers need to look where they are going with customer interactions. It wasn't very long ago that offering web chats was "state of the art". Fast forward a few years and the "just text me" generation will soon make up a majority of your customer base.
So, how do you prepare?
Here are 5 practical steps you can start doing today to catapult your contact center through the next wave of customer expectations:
1) How to empower agents and customers with consistent information regardless of contact channel.
2) How to begin integrating social channels into your service model (which may include, "first tweet resolution").
3) Mobile customer support? Where do you begin?
4) Use quality and performance measurement to design a better customer experience.
5) How to start automating your contact center processes.
NRF 2019 has confirmed that online and offline experiences are becoming one, putting the consumer at the center of all retail practices. In this report, we decode the main takeaways from NRF 2019.
Discover what the Retail industry will look like in years to come!
The Future of marketing isn't the same for everyone. In this presentation, we'll dig into two different futures. The near term future as demonstrated by what current high performers are doing, and the distant future and what you need to prepare for.
We’ve collected a whole year of Mindshare "Point of View" articles to give you a complete picture of how the industry has evolved in 2017. All POVs are written in the moment and were correct at the time of writing. Things change fast in this industry, so we’ve also given you some trends to look out for in 2018 that we think will matter to your business.
Building customer relationships with intelligent virtual agents: A framework ...Creative Virtual
Â
As part of the first Social Robotics & AI conference held in Oxford in September 2016, Creative Virtual's Founder & CEO, Chris Ezekiel, presented a session on intelligent virtual agents during the Customer Relationships stream.
Einstein Data Detect is a vital tool within Salesforce, designed to identify and protect sensitive data in an organization. It's a proactive solution for safeguarding data by detecting and categorizing it based on sensitivity levels. This comprehensive guide delves into various aspects of Einstein Data Detect, explaining its features, benefits, and usage requirements in a detailed manner.
**What is Einstein Data Detect?**
Einstein Data Detect is an innovative tool in Salesforce's arsenal, specifically developed to spot sensitive data within an organization. It empowers businesses to take quick, proactive steps to ensure this data's security. By identifying sensitive information, organizations can better manage and protect their data assets.
**Editions and Usage Requirements**
Einstein Data Detect is available across various Salesforce editions, including Enterprise, Performance, Unlimited, and Developer. To utilize this tool, organizations require the Salesforce Shield add-on subscription, which enhances the overall data security and compliance capabilities within Salesforce.
**Native Technology**
A standout feature of Einstein Data Detect is its reliance on native Salesforce technology. This dependence ensures that there is no need for third-party services or the movement of data outside the Salesforce platform. By staying within the Salesforce ecosystem, data security and integrity are significantly enhanced.
**Key Highlights**
Einstein Data Detect stands out due to its intelligent learning capabilities. It understands common data patterns and relationships within Salesforce, enabling it to effectively categorize data into High, Medium, and Low sensitivity levels. This categorization is crucial for businesses to prioritize their data protection strategies.
**Data Categorization and Location**
The tool swiftly locates misplaced data across various Salesforce components, including fields, attachments, and documents. This capability is critical in ensuring that sensitive data is not unintentionally exposed or misplaced.
**Automation in Data Identification and Correction**
Einstein Data Detect automates the process of data identification and correction. This automation ensures that the data within Salesforce is clean, consistent, and reliable. By maintaining data integrity, businesses can make better-informed decisions based on accurate data, reports, analytics, and insights.
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Einstein Data Detect boasts wide compatibility with various Salesforce offerings. It seamlessly integrates with popular Salesforce applications such as Sales Cloud, Service Cloud, Salesforce Industries, Salesforce Platform, and Work.com. Additionally, it is compatible with numerous AppExchange applications, enhancing its versatility and usefulness across different business scenarios.
Covers the major developments and changes in Salesforce during 2023.
It includes information on new product introductions, updates to existing services, and strategic decisions made by Salesforce.
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provides a comprehensive overview of the key developments in the Salesforce ecosystem throughout 2023. It covers a range of topics including the launch of new products like Automotive Cloud and EinsteinGPT, advancements in low-code platforms, and enhancements in areas like gender identity inclusivity. The article also discusses major conferences, collaborations, and innovations such as integrations with Slack and Tableau, and the introduction of new tools like Marketing GPT, Commerce GPT, and AI Cloud. Additionally, it addresses corporate developments like price changes and executive appointments. For a detailed understanding of the year's pivotal moments in Salesforce, visit the blog post - https://abhinav.fyi/salesforce-2023-recap-from-new-launches-to-app-retirals-and-more/
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Understanding Data Mask: Discover what Salesforce Data Mask is and its pivotal role in obfuscating confidential information in Sandbox environments.
Core Functionality: Learn how Data Mask enables admins and developers to mask sensitive data like Personally Identifiable Information (PII) in sandboxes.
Platform Native Technology: Uncover how Data Mask utilizes Salesforce's native obfuscation technology for comprehensive data masking in both full and partial sandboxes.
Versatile Data Protection: Delve into Data Mask’s support for various data protection approaches, including anonymization, pseudonymization, and deletion, to replace or erase sensitive data irreversibly.
Customizable Masking Levels: Understand how to tailor your data masking with options like random characters, similarly mapped words, or pattern-based techniques for specific needs.
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Managed Package Benefits: Learn how Data Mask, as a managed package, can be installed and configured in an Unlimited Performance or Enterprise production org for seamless integration.
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Protection from Malicious Internal Users: Find out how Data Mask ensures sandboxes are protected from data leaks and malicious internal actors.
Contractor & Developer Compliance: Learn how Data Mask enables external developers and contractors to test productively without compromising compliance or privacy.
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🤖 Understanding 4 Waves of AI
đź’ˇ This is my humble attempt to research and correlate FOUR major waves or generations of Artificial Intelligence (AI).
🤓 I brought some generic industry use cases and researched what Salesforce offers in various Einstein services.
🥵 As a vast majority of Einstein offerings are available, it is possible to miss out on quoting some names. Please be kind, and excuse me for that.
đź’¬ Drop your favourite AI examples, thoughts and Einstein services that correlate with this content.
#Salesforce #AI #Einstein #EinsteinAI
Salesforce Functions History - Launch to Retirement (2019-2023)Abhinav Gupta
Â
Walks through the history of Salesforce functions and talks about migration from Salesforce functions to Heroku apps
Shares the key timelines about end of services, and support as well for the same.
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What's AI-Puke?: The document discusses the concept of "AI-Puke," which refers to flawed art generated by AI tools like MidJourney, Stable Diffusion, DALL·E, etc. These flaws are particularly noticeable in human/animal/bird body parts such as eyes, teeth, hands, and legs.
Not All AI Art is Flawed: The document mentions that not all AI-generated art contains these flaws. Some AI art can be intricate, flawless, and fabulous.
Tips for NFT Collectors: The document advises NFT collectors not to buy "AI-Puke" and provides tips on how to identify such flawed art.
Identifying Scams: If you're paying for hand-crafted art but suspect you're getting AI-generated art, the document provides tips on identifying these scams.
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No Unique Signature: Generative AI art lacks a unique signature or style, making it difficult for digital artists to stand out.
Quality Control Issues: Generative AI art can be of poor quality and unsuitable for professional use. Digital artists who rely on their work to make a living may find that AI-generated work is not up to their standards.
Decreased Job Opportunities: As generative AI art becomes more popular, the demand for human digital artists may decrease, leading to fewer job opportunities.
No Emotional Connection: Generative AI art lacks the emotional connection artists can create through their work. This can make it difficult for digital artists to connect with their audience and make a lasting impact.
Limited Creative Potential: Generative AI art has limited creative potential based on algorithms and pre-defined parameters. Digital artists who seek to express their creativity and individuality may find it limiting.
Intellectual Property Concerns: Generative AI art can infringe on the intellectual property of others, leading to legal issues for the artist.
Lack of Personal Touch: Generative AI art lacks the personal touch that digital artists can bring to their work. This can result in a lack of emotion, connection, and engagement with the audience.
Decreased Income: Generative AI art is often available for free or at a low cost, making it difficult for digital artists to make a living through their work.
Loss of Craftsmanship: Generative AI art relies on technology, taking away the element of craftsmanship and hand-drawn skills that digital artists have honed over time.
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My presentation about Mental Health with corporate lifestyle at Salesforce #MotihariMeetup today.
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Followed by an overview and walk-thru of Bitbucket setup process via SFDX
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Â
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- Branch Permissions
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Slides from my session "Learning force.com the mobile way" in Jaipur Salesforce meetup. These slides talk about the post pc era, mobiles, salesforce mobile offering + strategy and developers path to come upto speed on both force.com and mobile #mobiledeveloperweek
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2. Developerforce team: Pat Patterson and Sandeep Bhanot
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https://arxiv.org/abs/2306.08302
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State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
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Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
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https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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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.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
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My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
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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.