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The Results are In: AI is Key to Building and Maintaining Customer Engagement

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The following post was written and/or published as a collaboration between Benzinga's in-house sponsored content team and a financial partner of Benzinga. Today's consumer companies and business-to-business (B2B) firms are finding themselves in a fast-paced, competitive race to attract and secure new clients. One approach that's increasingly gaining popularity is customer engagement. Customer engagement entails prioritizing long-term relationships with consumers and B2B clients. It's about working to develop and maintain relationships throughout multiple interactions and across various channels. The research suggests profound benefits for companies that invest in customer engagement solutions.


Will automation and AI actually improve customer service calls? Salesforce thinks so

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In the run up to Dreamforce 2021 in September, Salesforce announced new capabilities for Einstein Automate as well as new AI-driven workflows and RPA capabilities for Service Cloud . Prior to Dreamforce 2021, I had a chance to talk with Clara Shih, CEO of Service Cloud at Salesforce, about how the cloud-based software company sees automation and AI transforming, and actually humanizing, customer service. The following is a transcript of our interview, edited for readability. So let's talk automation, AI, RPA and how that relates to the Service Cloud and how that's kind of changing how organizations approach their interactions with their customers. Because I know that automation is a large part of many organization's digital transformation processes.


What is Artificial Intelligence as a Service (AIaaS)?

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Software as a Service, or SaaS, is a concept that is familiar to many. Long-time Photoshop users will recall when Adobe stopped selling its product and instead shifted to a subscriber model. Netflix and Disney are essentially Movies as a Service, particularly at a time when ownership of physical media is losing ground to media streaming. Artificial Intelligence as a Service (AIaaS) has been growing in market adoption in recent years, but the uninitiated might be asking: what exactly is it? In a nutshell, AIaaS is what happens when a company develops and licenses use of an AI to another company, most often to solve a very specific problem.


Streamlit - The easiest way to build data web apps

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Unlike typical Web Apps, this is Data-Focused Data Science Machine Learning Built during the Data Science Workflow or at the end Interactive EDA UI for the Model Inference Examples: Data Science Dashboards ML Model Result with Parameters ML Interpretability App Model Inference as a Web App (like Sales Forecasting) Hey Python Data Professionals, How many frameworks do you need to build a full-stack data app? Example Sales and Demand Forecasting App Skin Cancer Prediction with Images Analytics Dashboards HTML CSS Javascript Flask / Django Typically, pip install streamlit Now, What is streamlit? Streamlit, a python library that helps to turn data scripts into shareable web apps. No front‑end (html, css, js) experience required. Open Source 16,000 GitHub stars pip install streamlit 4.5 million downloads Well-Funded $35 million Series B Loved by Community 10,000 organizations (including over half of the Fortune 50) A Simple "streamlit" App Widgets Just like creating a variable Layouts st.columns() 3rd Party Components streamlit.io/components


Unlocking the Value of AI in Business Applications with ModelOps

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AI executives have been working to get more models in business for years now. The first hurdle was getting data scientists hired and tools for rapid model creation. That problem has been solved. The next hurdle is getting those models into production in a timely, compliant manner. Companies have a backlog of models that are sitting idle and degrading -- contributing no value/revenue to the business.


Artificial Intelligence Needs a Quantum Leap

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Hrishikesh is a Director, Financial Services BU at Capgemini. He has 19 years of experience in IT software industry playing high responsibility roles as Agile Transformation Lead, Agile Coach, Program Manager, Delivery Manager, Technical Project Manager, Technical Lead & Software Engineer. Hrishikesh is passionate about building high performing teams, taking individuals and teams on a journey of excellence and satisfaction. His vision of Agile is not just about implementing effective, efficient and lean processes, but transforming people's mindsets – to deliver better ROI and real business benefits. Hrishikesh holds a Bachelor of Engineering, Production Engineering from VJTI, University of Mumbai.


IBM partners with Weather Company for environmental SaaS platform

ZDNet

IBM and The Weather Company announced a new tool on Tuesday designed to help companies manage the impact of climate change and assess their own environmental impact. The Environmental Intelligence Suite leverages AI to provide weather, climate and operational data within an environmental performance management platform. It was built to provide assistance to organizations dealing with flooding, wildfires, air quality issues and other natural disasters. Kareem Yusuf, general manager of IBM AI Applications, said companies are coping with the effects of extreme weather disruptions on their operations while also being held increasingly accountable by shareholders and regulators for how their operations impact the planet. "The future of business and the environment are deeply intertwined," Yusuf said.


AI Career Notes: October 2021 Edition

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Beena Ammanath, executive director of the Deloitte AI Institute, joined the board of trustees at AnitaB.org, the global nonprofit company focused on intersectional gender and pay parity in tech. Ammanath has held leadership positions at HPE, GE, Thomson Reuters, British Telecom and Bank of America and is the founder of the nonprofit organization Humans For AI. "I'm honored to join the distinguished executives and leaders on the AnitaB.org Board of Trustees," said Ammanath. "Throughout my career, I have been passionate about supporting the development of women leaders in the field of technology and I look forward to working with my fellow board members to advance the important work of AnitaB.org." StorMagic, a storage and security products provider, appointed Danial Beer as its chief executive officer. Beer brings more than 25 years of senior management experience in the global software industry. Beer previously held positions as CEO of GFI Software, COO of YOUI Labs Inc., and executive director of both the performance management and M&A divisions of IBM.


How to Start Driving Growth With Data and Artificial Intelligence

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You've likely heard that artificial intelligence (AI) is a powerful technology packed with all kinds of potential to enhance your marketing initiatives. You may also be a little anxious about starting to use it, as many marketers are. That's okay -- new technologies are often exciting, but they can also be a bit nerve-wracking. It can be tough not to worry about how to use AI when you're just starting. Is it easy to manage all the data?


Natural Language Processing Real-World Projects In Python

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Are you looking to land a top-paying job in Data Science, AI & Natural Language Processing? Or are you a seasoned AI practitioner who want to take your career to the next level? Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence? If the answer is yes to any of these questions, then this course is for you! Data Science is one of the hottest tech fields to be in right now!