How can b2 b companies use ai to support their sales venkatvajradhar1
The applications of Artificial Intelligence (AI) are very diverse. Big players like Apple, Facebook, Google, or Samsung are not without reason to spend billions on new AI technologies.
Making Customer Data Actionable With Predictive Analytics In The Automotive M...Outsell
High performing dealer marketing teams routinely use analytics, statistical modeling and data mining to understand customer behavior, preferences and anticipate next actions. What most marketers want are the analytic model results and scores that they can put to use, not sophisticated analytic tools. In general, marketers don't have (and have difficulty hiring for) the skills necessary. There are new tools and techniques available that can bring the power of statistical modeling to your marketing team to help anticipate auto consumer needs, detect preferences, improve message timing, increase relevancy, and improve sales. Ultimately, delivering the answers you're seeking.
With big data becoming the fulcrum around which companies build their strategies and run their campaigns, leveraging this rush of information has become critical. And a CRM like Salesforce can help you achieve this extremely well.
Visit http://suyati.com/services/crm/salesforce-consulting/
This presentation talks about the rise of big data, its importance and how Salesforce allows it to be utilized best. A few use cases illustrate these points further.
How can b2 b companies use ai to support their sales venkatvajradhar1
The applications of Artificial Intelligence (AI) are very diverse. Big players like Apple, Facebook, Google, or Samsung are not without reason to spend billions on new AI technologies.
Making Customer Data Actionable With Predictive Analytics In The Automotive M...Outsell
High performing dealer marketing teams routinely use analytics, statistical modeling and data mining to understand customer behavior, preferences and anticipate next actions. What most marketers want are the analytic model results and scores that they can put to use, not sophisticated analytic tools. In general, marketers don't have (and have difficulty hiring for) the skills necessary. There are new tools and techniques available that can bring the power of statistical modeling to your marketing team to help anticipate auto consumer needs, detect preferences, improve message timing, increase relevancy, and improve sales. Ultimately, delivering the answers you're seeking.
With big data becoming the fulcrum around which companies build their strategies and run their campaigns, leveraging this rush of information has become critical. And a CRM like Salesforce can help you achieve this extremely well.
Visit http://suyati.com/services/crm/salesforce-consulting/
This presentation talks about the rise of big data, its importance and how Salesforce allows it to be utilized best. A few use cases illustrate these points further.
Business use cases highlight how big data can drive organizations towards tangible results. These use cases are practical points of reference that emphasize why (and how) investing in big data is worthwhile.
Artificial intelligence, customer journeys, and paid analytics
Quest to be more data-centric and insights-driven
Data-driven CMOs drive omnichannel customer intelligence
Companies turn to paid analytics for enhanced capabilities
The power of now: customer journey analytics rely on integrated data
Harnessing AI for more insight-driven marketing and better customer experiences
AI and Machine Learning in Marketing
READ Use Cases & Buyers of AI@ fourquadrant.com/use-cases-and-buyers-of-ai/
81% of consumers expect the same level of service whenever they interact with a company across different channels.
60% of marketers believe AI will have a “substantial or transformational” impact on their business’ programmatic and media buying in the next 5 years.
In a Forrester survey, 79% of marketers thought AI would allow them to move toward more strategic work.
When asked about the ‘next big trend’ in marketing, survey respondents saw:
- personalization (29%)
- artificial intelligence (26%)
- voice search (21%) as the top three trends for the future
VIEW THIS DECK TO SEE:
- Applications of AI in Marketing
- What is the Next Big Thing in Marketing
- How Likely Are Marketers to Use AI for Content Strategy
- How Important is AI for Marketing to Attain Goals
- Marketing Skills Gaps Predicted
AI and machine learning are making the customer experience more personalized and contextual than ever before.
Banks and credit unions are using advanced technology to make websites, emails, digital advertising, social media and other content more efficient and effective.
This is increasing marketing ROI as well as customer satisfaction.
===========================================
MORE GO TO MARKET RESOURCES FROM FOUR QUADRANT
Predictive Marketing Analytics @ fourquadrant.com/b2b-predictive-marketing-analytics/
Predictive Marketing Analytics Buyer’s Checklist @
fourquadrant.com/go-to-market-planning-templates/predictive-marketing-analytics-buyers-checklist/
Go to Market Resources @ fourquadrant.com
Use Cases & Buyers of AI@ fourquadrant.com/use-cases-and-buyers-of-ai/
Free Downloads @ fourquadrant.com/free-marketing-templates/
Go to Market Insights @ fourquadrant.com/go-to-market-planning-templates/
Gartner predicts that in 2020, organizations using AI tech will achieve long-term success 4 times more than others. Considering the exponential expansion and influence of AI and its exceptional value, adopting this technology is no longer a choice, but a need, for organizations.
Here are 13 reasons why your business needs AI:
Today we are beyond the point where big data is in the prototype stage. We are entering an era where automation, integration and end-to-end solutions need to be built rapidly to facilitate disruption. Companies need to architect a
platform for Big Data (and traditional data) analytics
Gartner predicts that in 2020, organizations using AI tech will achieve long-term success 4 times more than others. Considering the exponential expansion and influence of AI and its exceptional value, adopting this technology is no longer a choice, but a need, for organizations.For more visit at https://www.payjo.co/blog/13-reasons-why-your-business-needs-ai/
Know Why Conversational Commerce Market Is Booming in E-commerce World TejashriAtre
Conversational commerce can be best defined as the type of autonomous technology that is supervised by AI and allows online buyers to communicate with each other through chat or voice interfaces. Many companies have capitalized on the benefits of conversational commerce.
Best Metrics to Optimize B2B Demand GenFrankAliyar
B2B marketers who need to do more than simply create brand awareness through outbound marketing have adopted Account-Based Marketing (ABM) in order to focus on key accounts. Successful ABM campaigns can produce highly qualified, valuable prospects.
Data collection, processing & organization with USPA frameworkTrieu Nguyen
1) How to think in the age of Dataism with USPA framework ?
2) How to collect customer data
3) Data Segmentation Processing for flexibility and scalability
4) Data Organization for personalization and business activation
Today there is a lot of buzz around customer experience. Many companies have realized that investments in customer experience improvement is important not just because it helps to boost the bottom lines of their businesses but because it takes at least 4 to 6 times more cost to acquire a new customer than to retain an existing customer.
"In this presentation, Ankit introduces SMAC and associated trends. In his own words, "As I am a Data Science Student. So Algorithm is
my Tool. Data is my Need, Analytics is my passion
and Accuracy is my Dream."
Discover how artificial intelligence can transform your digital marketing strategy, boost efficiency, and generate targeted leads to beat the competition. https://www.webguru-india.com/blog/ai-powered-lead-generation-strategies/
Impact of Artificial Intelligence on Marketing SadiahAhmad
The AI market is growing at an astounding rate as the amount of data companies collect
increases and businesses look to use that data in meaningful ways. In the digital marketing space,
most of the growth of AI is attributed to programmatic advertising.
Business use cases highlight how big data can drive organizations towards tangible results. These use cases are practical points of reference that emphasize why (and how) investing in big data is worthwhile.
Artificial intelligence, customer journeys, and paid analytics
Quest to be more data-centric and insights-driven
Data-driven CMOs drive omnichannel customer intelligence
Companies turn to paid analytics for enhanced capabilities
The power of now: customer journey analytics rely on integrated data
Harnessing AI for more insight-driven marketing and better customer experiences
AI and Machine Learning in Marketing
READ Use Cases & Buyers of AI@ fourquadrant.com/use-cases-and-buyers-of-ai/
81% of consumers expect the same level of service whenever they interact with a company across different channels.
60% of marketers believe AI will have a “substantial or transformational” impact on their business’ programmatic and media buying in the next 5 years.
In a Forrester survey, 79% of marketers thought AI would allow them to move toward more strategic work.
When asked about the ‘next big trend’ in marketing, survey respondents saw:
- personalization (29%)
- artificial intelligence (26%)
- voice search (21%) as the top three trends for the future
VIEW THIS DECK TO SEE:
- Applications of AI in Marketing
- What is the Next Big Thing in Marketing
- How Likely Are Marketers to Use AI for Content Strategy
- How Important is AI for Marketing to Attain Goals
- Marketing Skills Gaps Predicted
AI and machine learning are making the customer experience more personalized and contextual than ever before.
Banks and credit unions are using advanced technology to make websites, emails, digital advertising, social media and other content more efficient and effective.
This is increasing marketing ROI as well as customer satisfaction.
===========================================
MORE GO TO MARKET RESOURCES FROM FOUR QUADRANT
Predictive Marketing Analytics @ fourquadrant.com/b2b-predictive-marketing-analytics/
Predictive Marketing Analytics Buyer’s Checklist @
fourquadrant.com/go-to-market-planning-templates/predictive-marketing-analytics-buyers-checklist/
Go to Market Resources @ fourquadrant.com
Use Cases & Buyers of AI@ fourquadrant.com/use-cases-and-buyers-of-ai/
Free Downloads @ fourquadrant.com/free-marketing-templates/
Go to Market Insights @ fourquadrant.com/go-to-market-planning-templates/
Gartner predicts that in 2020, organizations using AI tech will achieve long-term success 4 times more than others. Considering the exponential expansion and influence of AI and its exceptional value, adopting this technology is no longer a choice, but a need, for organizations.
Here are 13 reasons why your business needs AI:
Today we are beyond the point where big data is in the prototype stage. We are entering an era where automation, integration and end-to-end solutions need to be built rapidly to facilitate disruption. Companies need to architect a
platform for Big Data (and traditional data) analytics
Gartner predicts that in 2020, organizations using AI tech will achieve long-term success 4 times more than others. Considering the exponential expansion and influence of AI and its exceptional value, adopting this technology is no longer a choice, but a need, for organizations.For more visit at https://www.payjo.co/blog/13-reasons-why-your-business-needs-ai/
Know Why Conversational Commerce Market Is Booming in E-commerce World TejashriAtre
Conversational commerce can be best defined as the type of autonomous technology that is supervised by AI and allows online buyers to communicate with each other through chat or voice interfaces. Many companies have capitalized on the benefits of conversational commerce.
Best Metrics to Optimize B2B Demand GenFrankAliyar
B2B marketers who need to do more than simply create brand awareness through outbound marketing have adopted Account-Based Marketing (ABM) in order to focus on key accounts. Successful ABM campaigns can produce highly qualified, valuable prospects.
Data collection, processing & organization with USPA frameworkTrieu Nguyen
1) How to think in the age of Dataism with USPA framework ?
2) How to collect customer data
3) Data Segmentation Processing for flexibility and scalability
4) Data Organization for personalization and business activation
Today there is a lot of buzz around customer experience. Many companies have realized that investments in customer experience improvement is important not just because it helps to boost the bottom lines of their businesses but because it takes at least 4 to 6 times more cost to acquire a new customer than to retain an existing customer.
"In this presentation, Ankit introduces SMAC and associated trends. In his own words, "As I am a Data Science Student. So Algorithm is
my Tool. Data is my Need, Analytics is my passion
and Accuracy is my Dream."
Discover how artificial intelligence can transform your digital marketing strategy, boost efficiency, and generate targeted leads to beat the competition. https://www.webguru-india.com/blog/ai-powered-lead-generation-strategies/
Impact of Artificial Intelligence on Marketing SadiahAhmad
The AI market is growing at an astounding rate as the amount of data companies collect
increases and businesses look to use that data in meaningful ways. In the digital marketing space,
most of the growth of AI is attributed to programmatic advertising.
Value4Brand Reviews on How AI will Benefit or Affect the Digital Marketing In...Value4Brand
Along with that, Value4Brand reviews AI to be associated with certain disadvantages too. Based on the understanding of such companies, machine learning can be used to transform the measures of the digital marketing industries. Given that the major pros and cons are understood, more informed measures can be executed to get the desired results.
AI and Marketing: Robot-proofing Your JobCall Sumo
Artificial Intelligence (AI) provides marketers with deep knowledge of consumer, clients and delivers the right message to the right person at the right time. Here are more depth information how AC affects on Marketing.
Digital Marketing and Personalization of CX: 2016 Horizonwatch Trend BriefBill Chamberlin
The slides provide a quick overview of the Digital Marketing / Personalization of Customer Experience trend. The slides provide summary information, a list of trends to watch and links to additional resources.
In the dynamic landscape of technology, Application Programming Interfaces (APIs) have become the backbone of seamless digital experiences.
Read this Article here: https://medium.com/@ciente/the-rise-of-api-marketplaces-trends-and-opportunities-984be056915d
Learn more: https://ciente.io/blog/
Follow for more Articles here: https://ciente.io/
Artificial Intelligence And Digital Marketingdigitalzaid1
AI (Artificial Intelligence) plays a significant role in digital marketing by enhancing various aspects of marketing strategies and operations. Here are some key roles of AI in digital marketing:
20 Useful Applications of AI Machine Learning in Your Business ProcessesKashish Trivedi
A 2017 study from Pew Research found that more than 70% of the U.S. is scared that robots are going to take over our lives. And, while we can’t perfectly predict the emergence of a Skynet singularity, we can say with some certainty that technology is set to take over the repetitive, dehumanizing elements of our jobs instead of putting us out of work. Artificial intelligence (AI) is a strategic priority for 84% of businesses, and in some cases has been used to improve sales team efficiency by over 50%. Even I’ve used AI in the past to generate hundreds of relevant hashtags for social media posts at the click of a button. It was once the stuff of utopian science fiction and huge enterprises, but now practically anyone can take advantage. For this post, we will dive into 20 different applications of AI in the real world.
How artificial intelligence is changing promoting.pdfDavid213634
Like in such countless enterprises, the utilization of information and computer based intelligence is changing publicizing at a quick speed. Purchasers are seeing these progressions in the customized promotions on their internet browsers, the chatbots that assist them with pursuing purchasing choices. Be that as it may, what precisely is artificial intelligence fueled publicizing?
Simulated intelligence in publicizing alludes to the reenactment of human knowledge in machines that are modified to think like people and copy their activities in light of the data that is taken care of to them. They utilize authentic information to gain from previous encounters and use it to go with more astute choices later on. Publicists can utilize artificial intelligence to make more customized encounters, focus on the right crowd, and pursue choices quicker.
What are the various pieces of artificial intelligence in publicizing?
AI abilities
Mental publicizing is driven by man-made intelligence, and includes PC calculations that dissect data - consequently further developing encounters. Gadgets that use AI can investigate ne
20 Useful Applications of AI Machine Learning in Your Business ProcessesKashish Trivedi
The fear of robots taking over our lives has been a prevalent concern, with over 70% of the U.S. population expressing apprehension, as highlighted by a 2017 Pew Research study. However, while the emergence of a Skynet-like scenario remains uncertain, it's evident that technology, particularly artificial intelligence (AI), is poised to revolutionize various aspects of our daily tasks, freeing us from repetitive and dehumanizing job elements rather than rendering us obsolete. With AI being a strategic priority for 84% of businesses, its implementation has shown remarkable efficiency enhancements, such as boosting sales team productivity by over 50%. The accessibility of AI tools has expanded significantly, enabling practically anyone to leverage its benefits. In this discourse, we'll explore 20 diverse real-world applications of AI, ranging from healthcare and finance to entertainment and government, illustrating its pervasive impact on modern society.
AI in marketing - A detailed insight.pdfStephenAmell4
AI in marketing refers to the integration of artificial intelligence technologies, such as machine learning and natural language processing, into marketing operations to optimize strategies, enhance customer experiences and more.
AI is an interdisciplinary science with multiple approaches. that’s why we can see a lot of answers to the question “What is Artificial Intelligence?” , there is no singular definition of AI that is universally accepted.
At its core, Artificial Intelligence is a constellation of many different technologies that are capable of performing tasks requiring human intelligence. When applied to the usual business tasks, these technologies can learn, act, and perform with human-like levels of intelligence. It is used to simulate human intelligence in machines, saving us a lot of time and money in doing business.
The purpose of this whitepaper is to enable businesses to leverage data and insights to increase efficiency, provide seamless experiences, build a data-driven culture, empower automation, data utilization at scale and use programmatic advertising to laser target relevant audience. Incorporating winning strategies, this research paper will allow you to better organize, analyze and apply data in every operation.
Ever wonder, how Ai tools change digital marketing? It is quite a brainstorming thought. Right!! Artificial intelligence or most commonly known as AI can accurately and quickly analyze the huge amount of data that is crucial for digital marketing prospects.
Frankly speaking, AI has the potential to revolutionize the whole digital marketing industry by gradually increasing productivity, impact and industrialization. So in this blog, we will discuss how AI tools change digital marketing. So, let’s dig in!!!
Artificial Intelligence (AI) is doing a very good job and continues to provide many benefits to our modern world, but with good, inevitably negative consequences. The sooner we start to think about what they are, the better prepared we can be to reduce and manage the risks.
5 g driving the evolution of ai venkat vajradhar - mediumvenkatvajradhar1
The future of the 5G edge. 5G is an important part of the evolution of cloud-computing ecosystems towards more distributed environments, even though it is still many years away from widespread expansion. Between now and 2025, the networking industry is investing $ 5 trillion globally in 5G, supporting the rapid adoption of mobile, edge, and embedded devices in every sphere of our lives.
Over the past few years, we have seen that the amount of user data is being compromised. As the Internet of Things (IoT) and widespread Internet usage have caught on, cybercrime has grown rapidly. This not only compromises consumers but also damages the reputation of companies.
With traditional home security devices, the system can be programmed to trigger a predetermined response based on certain events. For example, if the system is armed, the countdown begins when the door is opened. If you fail to enter the code on the keypad in time, it alerts the police or an offsite security professional to a potential intruder.
How we successfully implemented ai in audit by venkat vajradhar _ dec, 202...venkatvajradhar1
Garbelman Winslow CPAs is evidence that you don’t have to be a large firm to have big aspirations with cutting-edge technology. The Upper Marlboro, Md.-based practice, which has a total of six CPAs and 15 employees, is using artificial intelligence (AI) to identify high-risk transactions as part of its auditing process. Here’s what the firm has done and learned so far, as told by partner Samantha Bowling, CPA, CGMA.
As impressive — or scary — as that might sound, artificial intelligence technologies aim to further revolutionize the way banking is done and the relationships between banks and their customers’ experience.
Machine learning can be a useful tool in detecting Medicare fraud, according to a new study that can recover anywhere from $ 19 billion to $ 65 billion lost in fraud each year.
AI (Artificial Intelligence) is a field of computer science that targets the development of smart machines that act and react like a real person. Part of the activities that systems provide with the AI application include speech recognition, planning, learning, and critical thinking and also a part of #AI SOLUTIONS
Artificial Intelligence Vs Machine Learning Vs Deep Learningvenkatvajradhar1
This technology is no longer a matter of science fiction. Instead, we see artificial intelligence in every part of our lives. Smart assistants are on our phones and speakers, helping us find information and complete everyday tasks. At work, chatbots are affiliated with the Customer Support Team, with estimates that they will be responsible for 85% of customer service by next year.
With traditional home security devices, the system can be programmed to trigger a predetermined response based on certain events. For example, if the system is armed, the countdown begins when the door is opened. If you fail to enter the code on the keypad in time, it alerts the police or an offsite security professional to a potential intruder.
9 powerful examples of artificial intelligence in use today by venkat vajra...venkatvajradhar1
Artificial intelligence is not limited to the IT or technology industry; Instead, it is widely used in other fields such as medicine, business, education, law, and manufacturing.
Future of artificial intelligence in the banking sector (part 1) by venkat ...venkatvajradhar1
Of late, the banking sector is becoming an active adapter of artificial intelligence — exploring and implementing this technology in new ways. The penetration of artificial intelligence in the banking sector had been unnoticed and sluggish until the advent of the era of internet banking.
Another Top 9Key feature in Android 11 which will Redefine Mobile Applicationsvenkatvajradhar1
Revamped Overview Menu, Screen Shot Shortcuts: In Android 11 Developer Preview 3, Google has revamped the Overview menu (recent apps screen) to show two new screenshot shortcuts along with big cards. However, it also removes the authorization to view the App Drawing from the Overview menu.
Another top 5 industries that stand to benefit most from blockchain by venk...venkatvajradhar1
For instance, if all the fashion designers are making the same style of apparel, the competition will be high while the buyers less interested; hence only the original concepts and designs make an impact on the customers’ minds. All the replicas, whether iPhone or Android Apps, are doomed to be classified as failures.
As cyberattacks grow in volume and complexity in recent years, Artificial Intelligence (AI) helps under-resourced security operations analysts stay ahead of threats. From millions of research papers, blogs, and news stories to pressurize intelligence, AI provides instant results to help you fight through the noise of thousands of daily alerts, drastically reducing response time.
The future of the 5G edge. 5G is an important part of the evolution of cloud-computing ecosystems towards more distributed environments, even though it is still many years away from widespread expansion. Between now and 2025, the networking industry is investing $ 5 trillion globally in 5G, supporting the rapid adoption of mobile, edge, and embedded devices in every sphere of our lives.
How Artificial Intelligence Will Change in 2050?venkatvajradhar1
Over the past decade, artificial intelligence has moved from a sci-fi dream to a critical part of our daily lives. We use AI systems to interact with our phones and speakers through voice assistants like Tesla-made Siri, Alexa, and Google Car, Amazon monitors our browsing habits, and then products we think we want. Google also decides what to buy and what results from we want to give us based on our search functionality. Artificially intelligent algorithms are here and they have already changed our lives
9 powerful examples of artificial intelligence in use today by venkat vajra...venkatvajradhar1
Artificial intelligence is not limited to the IT or technology industry;Artificial intelligence is not limited to the IT or technology industry; Instead, it is widely used in other fields such as medicine, business, education, law, and manufacturing.
Instead, it is widely used in other fields such as medicine, business, education, law, and manufacturing.
New expectations for ai. intro by venkat vajradhar _ mediumvenkatvajradhar1
The field of Artificial Intelligence (AI) encompasses a wide variety of technologies, from image recognition to robotics and autonomous vehicles, with potential benefits as well as their risks.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
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.
Neuro-symbolic is not enough, we need neuro-*semantic*
Seven examples of ai in marketing venkat vajradhar - medium
1. 5/15/2020 SEVEN EXAMPLES OF AI IN MARKETING - venkat vajradhar - Medium
https://medium.com/@pvvajradhar/seven-examples-of-artificial-intelligence-in-marketing-3dc040fbc2d5 1/4
SEVEN EXAMPLES OF AI IN MARKETING
venkat vajradhar
Dec 3, 2019 · 4 min read
An integral part of many industries, including Artificial Intelligence and Machine
Learning is none other than Marketing.
As we often talk about using or adding A.I. In marketing, what does this mean? What
does this look like in practice?
Here are 7 examples of A.I. & Machine learning in the Marketing Industry.
1. Product / Content Recommendations
The process of clustering customer behavior to predict future actions began in 1998,
with a digital report on digital bookshelves, In the same year, Amazon began using a
“collaborative filter” to enable referrals for millions of users.
Some successful digital companies have built their product offerings around the ability
to offer a highly relevant and personalized product or content recommendations,
including Amazon, Netflix, and Spotify.
A brief history of artificial intelligence in advertising for consulting, “All this comes
from AI-based clustering and profiling of information and demographic user data.
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These AI-based systems constantly adapt to your likes and dislikes and respond with
new recommendations that are appropriate in real-time. “
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Publishers are implementing AI-powered content recommendation widgets that allow
readers to identify relevant content on the surface and personalize those
recommendations based on readers’ browsing habits.
2. Data Filtering & Analysis
Marketing is becoming a data-driven discipline and the key to using data more
effectively is to improve customer experience, personalization, targeting, and more.
However, after collecting that data, integrating it, and analyzing it to determine
patterns for humans. This is where A.I. Comes: One of the greatest strengths of A.I. The
workplace is capable of carrying out complex organizational and analytical tasks that
are difficult or impossible for humans. Freeing humans to do more vivid, creative work
that suits them better.
For example, A.I. Account-based marketing can be used to improve account selection
when carried out on an ABM scale. Targeting and personalization company Demand
Base has found that it can use A.I. These AI filter companies from a list of prospects
that will eventually lose company money in the long run.
3. Search engines
Based on Artificial Intelligence portfolios, We have a frequent take on 2019, which has
had a profound impact on the way we search, and on the quality of the search
experience.
Google first introduced the A.I. Rank Brain, which was in search of 2015 with the
introduction of its machine learning-based algorithm. Since then, many e-commerce
websites (including Amazon) have followed in the footsteps of Google and A.I. into
their search engines to make product searches smarter.
With innovations such as natural language processing and semantic search, search
engines can determine relationships between products and suggest similar things.
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Finding relevant search results and automatically correcting mistakes can help
customers find products even when they’re not sure what they’re looking for.
4. Social listening & sentiment analysis
Advances in natural language processing have proven very useful for marketers who
want to evaluate their brand presence and conversations around their brand on social
media and use them to target campaigns.
A.I. It enables brands to analyze sentiment on social interactions and understand their
attitude towards their brand and products. This allows them to identify potential
problems and deal with them before they become too widespread.
For example, Samsung — it works with A.I. Consumer Insights Crimson Hexagon — The
newly released S8 smartphone model has been able to detect and prevent customer
dissatisfaction with red on the screen.
5. Predictive Analytics
Predictive analytics can be of significant impact in improving customer service and
customer experience, as is the method of gathering information from data sets to
predict future trends.
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Predictive Analytics is the revolutionary capability of A.I. This is because predicting
trends from data sets is only possible in the past. Thanks to artificial intelligence,
things that could only be predetermined once can now be reliably modeled and
decisions made based on those models.
6. Audience target & segmentation
With the level of personalization that most expect, marketers need to target the
granular sectors in which they are growing.
A.I. It can be used to achieve this. Marketers can train machine learning algorithms
against “gold standard” training to draw data they already have about their customers,
identify relevant variables and popular features, and select contacts that have been
identified incorrectly.
4. 5/15/2020 SEVEN EXAMPLES OF AI IN MARKETING - venkat vajradhar - Medium
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It comes down to data on how marketers can differentiate their customers — whether
the categories are as simple as gender and age, or as buying past behaviors and
personalities.
7. Sales forecasting
Sales forecasting is another assessment-oriented application of A.I. — This time, for
sales.
Using past sales data, industry-wide comparisons, and financial trends, Artificial
Intelligence can predict sales results and help companies make business decisions and
predict short- and long-term performance.
Sales forecasts can also help predict product demand, although sales teams must be
careful to consider other factors.
For example, a company experiencing manufacturing problems may sell only a certain
number of units due to a lack of stock, not due to a lack of demand for the product.
Therefore, using only sales statistics to estimate demand produces an inaccurate forecast.
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