How to Market Your AI-powered platform

ADITYA CHAKURKAR | June 22, 2021 | 72 views

AI-powered platform
The world of AI-powered businesses is evolving like never before. It’s fast-moving, extremely competitive, and even ruthless at times.

Currently, hundreds of artificial intelligence platforms are being introduced every day and they are reshaping the way businesses conduct different campaigns like social media campaigns, search marketing campaigns, digital marketing campaigns, etc.

With intense competition in this field, only a few manage to reach the top. Some keep on struggling to impress their audience for years while others fail to find the right traction and eventually crumble shortly.

Being a company owner, marketer, or founder, it is essential to keep one thing in mind — people want to buy great products. And, only the most creative, smartest, and strongest all will last. Whether it is a service or product, it must add more value to the day-to-day lives of your customers.

That said, effective marketing for AI-powered platforms in this internet era may seem like finding a needle in a haystack for some. However, it can get an edge and rule this cynical market if you follow the below-mentioned actionable tips. We have discussed with some of the best brand communicators and marketers in the business who have used amazing tactics to survive in this already saturated industry.

Focus More On ROI, Less On Technology

Being an AI-based company or a platform, it's obvious that many tend to get wrapped up in a bunch of technical terms. But the customers don’t care much about it.
Instead of knowing your artificial intelligence tool in and out, they want to know how it can boost their returns on investment.

Yes, it’s good to let them know the technology you have used. But in the end, it’s the service you are selling and any customer would want to make sure if your product can satisfy the following needs:

● Enhance customer relationships
● Minimize business costs
● Simplify the processes
● Reduce the losses
● Get more sales

Your marketing strategy for AI-powered platforms must focus on the major pain points of the customers. After all, knowing if your product is worth the money is the basic thing all businesses and individuals need.

Go Visual To Effectively Market Your Service

Nothing can catch someone’s attention better than the visuals. Humans are visual learners and nothing can beat great visuals when communicating a service or product.

Let your customers take a peek at what’s under the hood of your service. You indeed can get help from gifs, videos, photos, and screenshots to clear some fog. But understanding how the software works is rarely achieved through them. Giving them an idea of how it really works is the key here.

Demonstrating the functionality and interactivity of your platform helps clients understand its operations and ultimately, its potential benefits. Make sure your demo is clear, friendly, and able to help your customers visualize your AI-powered platform in action.

This high-performing marketing strategy has the power to normalize your solution, no matter how complicated it is in reality.

Have A BS-Free Approach

Even though this is a pretty obvious thing to know, it’s worth mentioning here because it is, unfortunately, extremely widespread. You should market your product as an AI-powered one only if it truly revolves around AI.

The concept of artificial intelligence is the new boom in the market and many businesses are tempted to introduce their platform as AI-powered even when it isn’t.

This may look cool in the beginning but avoid doing this as it can cause serious consequences for both investors and customers down the road. Therefore, the marketing for AI-powered platforms should be very tech-specific and long away from even the slightest hint of misleading.

Educate Your Customers On Alternate Options

In general, Artificial Intelligence is an umbrella term that comprises several technical approaches. But sadly, only a few of them are mostly touted in the market. “Deep Learning” and “Machine Learning” are to name a few.

How many are there who say they use Robotic Process Automation, AI Optimized Hardware, Decision Management, or Evolutionary Strategies?

The numbers are surprisingly poor. Your marketing for AI-powered platforms should include demonstrations that educate customers on your unique approaches that can benefit their business in terms of finances, eCommerce, digital marketing, etc.

For instance, if your platform is armed with Evolutionary Strategies (ES), let your customers know about it. ES uses a set of candidate solutions for problem-solving. It evaluates the answer depending on a ‘fitness’ function. The survival of the solutions is decided on their performance ratings which improve them generation by generation. The stand out feature of ES is that it does not require tons of clearly labelled data.

Such kind of optimized marketing creates wonders. It cares more about the outcomes customers will get and less about the tech.

Develop A Remarkable Demo

To earn the trust, attention, and eventually the budget of your customer, you need to make the best first impression of your AI-powered platform.

Your product should speak for itself and you can get help from a crisp, condensed and engaging demo for this task. Build a great demonstration of your product to explain how it operates. This will make customers realize how it can be beneficial for their specific needs.

A highly practical and visual demo gives extra information about the product so your customers can understand a broader picture of it. It helps them to draw conclusions about certain facts, functionalities, and potential benefits.

Include Case Studies In Your Demo

Case studies play a vital role when it is about marketing for AI-powered platforms. The fact is, most of your customers are not tech-savvy. And, all those jargon, technical words related to your product are kind of an enigma to them.

Of course, you can use visuals, bulleted points, and other forms to demonstrate the unique features of your product. However, it’s not enough for them until they see how your product helped other customers.

You can count on some of your compelling customer stories to showcase the power of your tool. It not only demonstrates how your platform works in the real world but also helps clients know the tangible value creation.

Arrange Free Consulting Sessions And Webinars For Customers

Marketing for AI-powered platforms should be all about expressing your unique approach and best ideas to the right audience in such a way that they find it valuable, interesting, and game-changing.

Talking directly can make this job a lot easier. Yes, we mean literally talking to your prospective clients. But how can you do that?

It’s simple — through consulting sessions and webinars. Both of these options are highly beneficial as they can

● Answer all the questions customers have
● Create excitement among customers
● Build communities

Such a consultative approach is an integral part of any high-performing marketing strategy because it allows you to serve and not just sell. And on top of everything, it creates a ‘tone of helpfulness’ that promotes trust.

No matter if you have the most unique and powerful ideal in the world, that’s not enough for the success of your company. The right marketing is what you need to make your idea reach the mass. As the artificial intelligence industry is constantly growing and the cutthroat competition is making it harder to reach the top, what roadmap you follow in marketing for AI-powered platforms is the ticket to your success.

FAQs

What is AI-powered marketing?

AI-powered marketing, in layman’s terms, is a marketing strategy that uses artificial intelligence. It revolves around the facts related to data analysis, data collection, and customer & economic trends that can make or break your marketing efforts.

When speed is what you want, nothing is better than AI-powered marketing. With the effective use of customer profiles and data, AI initiates communication and serves the customers in the best way.

What are the top benefits of AI-powered platforms?

The following are the benefits that can make your job of marketing for AI-powered platforms easy:

● Improved personalised experience
● Automated customer interactions
● Improved outcome predictions
● Enhanced recruitment process
● Improves information security
● Operational automation
● Real-time assistance
● Data mining

What is an AI-powered platform?

Traditional platforms involve human beings to complete specific tasks. On the other hand, AI-powered platforms use machines to do the same.

Artificial intelligence platforms use cognitive function stimulation that humans normally use for general intelligence, social intelligence, logical reasoning, learning and problem-solving.

With such a great ability to reduce human efforts and deliver excellent benefits, effective marketing for AI-powered platforms is the need of the hour.

Spotlight

CEBS Worldwide

CEBS Worldwide is a renowned IT product and services company that help customers achieve an optimized, secure, and scalable solutions. We work closely with customers to deliver the best solutions as per the industry trends. We are at the cutting edge of key technology paradigms such as Omni-Channel E-Commerce solutions, Distributed Order Management solutions, Supplier Integration and Management solution, Multi-Channel Campaign Management, Customer Awareness/Analytics, Digital Analytics, Customer Journey Analysis, Social Analytics, Supply Chain Optimization, Supply Chain Finance, E-MarketPlace, Brand Experience, Customer Experience Management and much more.

OTHER ARTICLES
SOFTWARE

AI's Impact on Improving Customer Experience

Article | August 2, 2022

To enhance the consumer experience, businesses all over the world are experimenting with artificial intelligenace (AI), machine learning, and advanced analytics. Artificial intelligence (AI) is becoming increasingly popular among marketers and salespeople, and it has become a vital tool for businesses that want to offer their customers a hyper-personalized, outstanding experience. Customer relationship management (CRM) and customer data platform (CDP) software that has been upgraded with AI has made AI accessible to businesses without the exorbitant expenses previously associated with the technology. When AI and machine learning are used in conjunction for collecting and analyzing social, historical, and behavioral data, brands may develop a much more thorough understanding of their customers. In addition, AI can predict client behavior because it continuously learns from the data it analyzes, in contrast to traditional data analytics tools. As a result, businesses may deliver highly pertinent content, boost sales, and enhance the customer experience. Predictive Behavior Analysis and Real-time Decision Making Real-time decisioning is the capacity to act quickly and based on the most up-to-date information available, such as information from a customer's most recent encounter with a company. For instance, Precognitive's Decision-AI uses a combination of AI and machine learning to assess any event in real-time with a response time of less than 200 milliseconds. Precognitive's fraud prevention product includes Decision-AI, which can be implemented using an API on a website. Marketing to customers can be done more successfully by using real-time decisioning. For example, brands may display highly tailored, pertinent content and offer to clients by utilizing AI and real-time decisioning to discover and comprehend a customer's purpose from the data they produce in real-time. By providing deeper insights into what has already happened and what can be done to facilitate a sale through suggestions for related products and accessories, AI and predictive analytics are able to go further than historical data alone. This increases the relevance of the customer experience, increases the likelihood that a sale will be made, and increases the emotional connection that the customer has with a brand.

Read More
SOFTWARE

The Evolution of Quantum Computing and What its Future Beholds

Article | July 14, 2022

The mechanism of quantum computers will be entirely different from anything we humans have ever created or constructed in the past. Quantum computers, like classical computers, are designed to address problems in the real world. They process data in a unique way, though, which makes them a much more effective machine than any computer in use today. Superposition and entanglement, two fundamental ideas in quantum mechanics, could be used to explain what makes quantum computers unique. The goal of quantum computing research is to find a technique to accelerate the execution of lengthy chains of computer instructions. This method of execution would take advantage of a quantum physics event that is frequently observed but does not appear to make much sense when written out. When this fundamental objective of quantum computing is accomplished, and all theorists are confident works in practice, computing will undoubtedly undergo a revolution. Quantum computing promises that it will enable us to address specific issues that current classical computers cannot resolve in a timely manner. While not a cure-all for all computer issues, quantum computing is adequate for most "needle in a haystack" search and optimization issues. Quantum Computing and Its Deployment Only the big hyperscalers and a few hardware vendors offer quantum computer emulators and limited-sized quantum computers as a cloud service. Quantum computers are used for compute-intensive, non-latency-sensitive issues. Quantum computer architectures can't handle massive data sizes yet. In many circumstances, a hybrid quantum-classical computer is used. Quantum computers don't use much electricity to compute but need cryogenic refrigerators to sustain superconducting temperatures. Networking and Quantum Software Stacks Many quantum computing software stacks virtualize the hardware and build a virtual layer of logical qubits. Software stacks provide compilers that transform high-level programming structures into low-level assembly commands that operate on logical qubits. In addition, software stack suppliers are designing domain-specific application-level templates for quantum computing. The software layer hides complexity without affecting quantum computing hardware performance or mobility.

Read More
AI TECH

Language Models: Emerging Types and Why They Matter

Article | July 20, 2022

Language model systems, often known as text understanding and generation systems, are the newest trend in business. However, not every language model is made equal. A few are starting to take center stage, including massive general-purpose models like OpenAI's GPT-3 and models tailored for specific jobs. There is a third type of model at the edge that is intended to run on Internet of Things devices and workstations but is typically very compressed in size and has few functionalities. Large Language Models Large language models, which can reach tens of petabytes in size, are trained on vast volumes of text data. As a result, they rank among the models with the highest number of parameters, where a "parameter" is a value the model can alter on its own as it gains knowledge. The model's parameters, which are made of components learned from prior training data, fundamentally describe the model's aptitude for solving a particular task, like producing text. Fine-tuned Language Models Compared to their massive language model siblings, fine-tuned models are typically smaller. Examples include OpenAI's Codex, a version of GPT-3 that is specifically tailored for programming jobs. Codex is both smaller than OpenAI and more effective at creating and completing strings of computer code, although it still has billions of parameters. The performance of a model, like its capacity to generate protein sequences or respond to queries, can be improved through fine-tuning. Edge Language Models Edge models, which are intentionally small in size, occasionally take the shape of finely tuned models. To work within certain hardware limits, they are occasionally trained from scratch on modest data sets. In any event, edge models provide several advantages that massive language models simply cannot match, notwithstanding their limitations in some areas. The main factor is cost. There are no cloud usage fees with an edge approach that operates locally and offline. As significant, fine-tuned, and edge language models grow in response to new research, they are likely to encounter hurdles on their way to wider use. For example, compared to training a model from the start, fine-tuning requires less data, but fine-tuning still requires a dataset.

Read More
SOFTWARE

Low-code and No-code: A Business' New Best Friend

Article | July 5, 2022

Businesses are starting to integrate artificial intelligence (AI) into their workflow in greater numbers as a result of the growth of digital transformation and developments in machine learning (ML). As a result, platforms that need no coding, as well as their low-code counterparts, are becoming more popular. This development is a step toward computer science's long-term objective of automating manual coding. Low-code/no-code AI platforms will be beneficial to businesses in more data-driven industries like marketing, sales, and finance. AI can assist in a variety of ways, including automating invoicing, evaluating reports, making intelligent suggestions, and anticipating churn rates. How Does an Organization Look at Low-code/No-code as the Future? Developers and other tech-related positions are in high demand, particularly in the fields of AI and data science. Organizations have the chance to close the gap with the aid of citizen data scientists who don't require an AI professional to design unique AI solutions for many scenarios, thanks to low-code and no-code AI technologies. The demand for technological solutions and AI technologies is rising significantly as the technological landscape rapidly changes. AI systems, for example, require complex software that uses a lot of code, a variety of frameworks, and the Internet of Things (IoT). One person's capacity to comprehend every technical detail is strained by the array of complicated technology. Software delivery must be timely, effective, and secure while maintaining high standards. Conclusion Low-code AI solutions offer the speed, ease of use, and adaptability of ready-made software solutions while also drastically reducing the time to market for AI solutions and the cost of recruiting software and computer vision engineers. Organizations are free to construct the architecture, functionality, or pipeline that best suits their project, the sky being the limit. However, creating such unique models may be both costly and time-consuming. Therefore, employing low-code/no-code platforms would apply to particular pipeline actions that would streamline and accelerate the processes.

Read More

Spotlight

CEBS Worldwide

CEBS Worldwide is a renowned IT product and services company that help customers achieve an optimized, secure, and scalable solutions. We work closely with customers to deliver the best solutions as per the industry trends. We are at the cutting edge of key technology paradigms such as Omni-Channel E-Commerce solutions, Distributed Order Management solutions, Supplier Integration and Management solution, Multi-Channel Campaign Management, Customer Awareness/Analytics, Digital Analytics, Customer Journey Analysis, Social Analytics, Supply Chain Optimization, Supply Chain Finance, E-MarketPlace, Brand Experience, Customer Experience Management and much more.

Related News

AI TECH,GENERAL AI,SOFTWARE

Reveal Unveils Streams – A New Macro Data Visualization Engine Powered by Reveal AI

Reveal | August 23, 2022

Reveal, the global provider of the leading AI-powered eDiscovery platform, announced today the introduction of Streams, an entirely new way to uncover insights from today’s complex web of digital communications data sources using the power of Reveal AI. After developing the most successful and widely-used data visualization tool globally, Reveal is raising the bar once again with Streams. Available early 2023, the macro-visualization engine maps massive amounts of data from traditional and alternative data sources to immediately uncover patterns saving time and resources, while exponentially amplifying insights. When Streams is used in concert with the full suite of Reveal AI-powered tools like the Cluster Wheel, Communication Map and AI Model Library, the results are unmatched in the industry. “New communication platforms and formats have exploded in variety and adoption, creating a wealth of potentially relevant ESI sources that current discovery platforms struggle to parse. “Streams solves this issue by bringing the varied threads together in a single, powerful interactive visual analytic tool that instantly becomes a force multiplier for case teams.” Wendell Jisa, founder & CEO of Reveal What sets Streams apart is its ability to weave communication threads into a single AI-powered visualization that understands patterns, concepts and anomalies across multiple new and traditional communications sources, including collaboration tools, messaging platforms, social media and beyond. Upon ingestion of communications data from today’s most widely used communications platforms, the visualization allows users to immediately layer insights into review, narrow or expand discovery and find actionable insights in minutes rather than weeks. The following is just a sample of the vast array of communication sources Streams supports: Slack Microsoft Teams Zoom WhatsApp Social Media platforms like LinkedIn, Facebook, Instagram, Snapchat, TikTok and more Email Text messaging Instant Messaging Documents of all forms (Word, DocuSign, Pages, etc.) “The Cluster Wheel revolutionized how legal professionals could connect and uncover key evidence from email and document data sets. Streams is the next chapter in rich visualization designed specifically for alternative data that helps uncover answers faster and more effectively than any other eDiscovery platform,” added Jisa. With the most adaptability and scalability of any tech solution on the market, the Reveal 11 AI platform is uniquely equipped to handle matters at any scale. Combined with the industry’s most advanced visualization tools on the market, clients can now quickly and more deeply understand their digital environments in ways traditional tools simply cannot replicate. Am Law 100 firms, Fortune 500 corporations, legal service providers, government agencies and financial institutions in more than 40 countries across five continents have already signed on to use the Reveal 11 platform. About Reveal Reveal provides world-class document review technology, underpinned by leading processing, visual analytics, and artificial intelligence, all seamlessly integrated into a single platform for eDiscovery and investigations. Our software combines technology and human guidance to transform structured and unstructured data into actionable insight. We help organizations, including law firms, corporations, government agencies, and intelligence services, uncover more useful information faster by providing a world-class user experience and patented AI technology that is embedded within every phase of the eDiscovery process.

Read More

FUTURE TECH

Digital.ai Redefines the Future of Software Delivery with Leading AI-powered DevOps Platform

Digital.ai | April 28, 2022

With the industry-leading AI-powered DevOps Platform, Digital.ai has redefined the future of software delivery for technology-driven enterprises. Ascension, the latest version, helps both commercial and public sector businesses to unify, protect, and produce predictive insights throughout the software lifecycle, improving business value via integrated software delivery and reducing technical debt through enterprise connectivity. Technology executives can now grow their remote workforce and link agile development at the portfolio, team, and individual levels with the Ascension release. The new capabilities assist them in aligning their business strategy with team-level execution while increasing visibility throughout the whole toolchain. More than 1500 businesses across sectors, including more than half of the Fortune 500, rely on Digital.ai to handle the challenges and possibilities of digital transformation. “The last decade’s worth of well-funded, VC-backed software vendors has forever fragmented the way software is developed and delivered. Technology leaders today need a platform that offers the connective tissue to plan, measure and accelerate business value from software investments, while reducing costs, maintaining security, and managing compliance. With our latest release, Digital.ai’s platform solves problems organizations encounter by delivering connected tools that offer a wealth of insight across the full development and delivery lifecycle.” Stephen Elop, chief executive officer at Digital.ai Technology executives are under a lot of pressure to develop quicker, but they’re up against a lot of obstacles. Developers spend around one-third of their time on low-level chores that might be automated, allowing them to concentrate on higher-level work. Technical debt, on the other hand, makes scaling automation difficult, and security and quality assurance teams are battling to protect and manage an ever-increasing number of mobile devices and operating systems. This is driving demand for innovative software delivery systems like Digital.ai’s AI-Powered DevOps Platform throughout the world. “Modernizing legacy systems has been an ongoing goal for our digital transformation efforts, and moving to agile and DevOps was a critical development for us. We previously had a couple of unsuccessful attempts to replace our aging legacy financial systems, but Digital.ai made successful modernization possible,” said Jilee Rich, director, financial service center PMO, The United States Department of Veterans Affairs. “Since implementing a Scaled Agile and DevOps approach, we’re achieving our digital transformation goals. This has brought better, more consistent outcomes, predictability and more features delivery for customers, increased delivery speed and velocity, and improved interagency communications.”

Read More

Google launches Springboard, an AI-powered assistant for its enterprise customers

June 14, 2016

Google has unwrapped two significant announcements for its enterprise customers, the most notable of which is the rollout of Springboard, a new digital assistant to help enterprise companies that make use of Google’s services for business.

Read More

AI TECH,GENERAL AI,SOFTWARE

Reveal Unveils Streams – A New Macro Data Visualization Engine Powered by Reveal AI

Reveal | August 23, 2022

Reveal, the global provider of the leading AI-powered eDiscovery platform, announced today the introduction of Streams, an entirely new way to uncover insights from today’s complex web of digital communications data sources using the power of Reveal AI. After developing the most successful and widely-used data visualization tool globally, Reveal is raising the bar once again with Streams. Available early 2023, the macro-visualization engine maps massive amounts of data from traditional and alternative data sources to immediately uncover patterns saving time and resources, while exponentially amplifying insights. When Streams is used in concert with the full suite of Reveal AI-powered tools like the Cluster Wheel, Communication Map and AI Model Library, the results are unmatched in the industry. “New communication platforms and formats have exploded in variety and adoption, creating a wealth of potentially relevant ESI sources that current discovery platforms struggle to parse. “Streams solves this issue by bringing the varied threads together in a single, powerful interactive visual analytic tool that instantly becomes a force multiplier for case teams.” Wendell Jisa, founder & CEO of Reveal What sets Streams apart is its ability to weave communication threads into a single AI-powered visualization that understands patterns, concepts and anomalies across multiple new and traditional communications sources, including collaboration tools, messaging platforms, social media and beyond. Upon ingestion of communications data from today’s most widely used communications platforms, the visualization allows users to immediately layer insights into review, narrow or expand discovery and find actionable insights in minutes rather than weeks. The following is just a sample of the vast array of communication sources Streams supports: Slack Microsoft Teams Zoom WhatsApp Social Media platforms like LinkedIn, Facebook, Instagram, Snapchat, TikTok and more Email Text messaging Instant Messaging Documents of all forms (Word, DocuSign, Pages, etc.) “The Cluster Wheel revolutionized how legal professionals could connect and uncover key evidence from email and document data sets. Streams is the next chapter in rich visualization designed specifically for alternative data that helps uncover answers faster and more effectively than any other eDiscovery platform,” added Jisa. With the most adaptability and scalability of any tech solution on the market, the Reveal 11 AI platform is uniquely equipped to handle matters at any scale. Combined with the industry’s most advanced visualization tools on the market, clients can now quickly and more deeply understand their digital environments in ways traditional tools simply cannot replicate. Am Law 100 firms, Fortune 500 corporations, legal service providers, government agencies and financial institutions in more than 40 countries across five continents have already signed on to use the Reveal 11 platform. About Reveal Reveal provides world-class document review technology, underpinned by leading processing, visual analytics, and artificial intelligence, all seamlessly integrated into a single platform for eDiscovery and investigations. Our software combines technology and human guidance to transform structured and unstructured data into actionable insight. We help organizations, including law firms, corporations, government agencies, and intelligence services, uncover more useful information faster by providing a world-class user experience and patented AI technology that is embedded within every phase of the eDiscovery process.

Read More

FUTURE TECH

Digital.ai Redefines the Future of Software Delivery with Leading AI-powered DevOps Platform

Digital.ai | April 28, 2022

With the industry-leading AI-powered DevOps Platform, Digital.ai has redefined the future of software delivery for technology-driven enterprises. Ascension, the latest version, helps both commercial and public sector businesses to unify, protect, and produce predictive insights throughout the software lifecycle, improving business value via integrated software delivery and reducing technical debt through enterprise connectivity. Technology executives can now grow their remote workforce and link agile development at the portfolio, team, and individual levels with the Ascension release. The new capabilities assist them in aligning their business strategy with team-level execution while increasing visibility throughout the whole toolchain. More than 1500 businesses across sectors, including more than half of the Fortune 500, rely on Digital.ai to handle the challenges and possibilities of digital transformation. “The last decade’s worth of well-funded, VC-backed software vendors has forever fragmented the way software is developed and delivered. Technology leaders today need a platform that offers the connective tissue to plan, measure and accelerate business value from software investments, while reducing costs, maintaining security, and managing compliance. With our latest release, Digital.ai’s platform solves problems organizations encounter by delivering connected tools that offer a wealth of insight across the full development and delivery lifecycle.” Stephen Elop, chief executive officer at Digital.ai Technology executives are under a lot of pressure to develop quicker, but they’re up against a lot of obstacles. Developers spend around one-third of their time on low-level chores that might be automated, allowing them to concentrate on higher-level work. Technical debt, on the other hand, makes scaling automation difficult, and security and quality assurance teams are battling to protect and manage an ever-increasing number of mobile devices and operating systems. This is driving demand for innovative software delivery systems like Digital.ai’s AI-Powered DevOps Platform throughout the world. “Modernizing legacy systems has been an ongoing goal for our digital transformation efforts, and moving to agile and DevOps was a critical development for us. We previously had a couple of unsuccessful attempts to replace our aging legacy financial systems, but Digital.ai made successful modernization possible,” said Jilee Rich, director, financial service center PMO, The United States Department of Veterans Affairs. “Since implementing a Scaled Agile and DevOps approach, we’re achieving our digital transformation goals. This has brought better, more consistent outcomes, predictability and more features delivery for customers, increased delivery speed and velocity, and improved interagency communications.”

Read More

Google launches Springboard, an AI-powered assistant for its enterprise customers

June 14, 2016

Google has unwrapped two significant announcements for its enterprise customers, the most notable of which is the rollout of Springboard, a new digital assistant to help enterprise companies that make use of Google’s services for business.

Read More

Events