Why StarCraft is the Perfect Battle Ground for Testing Artificial Intelligence

| December 3, 2019

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DeepMind, an offshoot of Google's parent company, debuted a computer program in January capable of beating professional players at one of the world's toughest video games. StarCraft is a military science fiction franchise set in a universe rife with conflict, where armies of opponents face off to become the most powerful. And DeepMind's program, called AlphaStar, reached StarCraft II's highest rank — Grandmaster. It can defeat 99.8 percent of human players, according to a study published in the journal Nature in October. StarCraft is one of the most popular, difficult electronic sports in the world. And that status has spurred a smattering of code-writers to use it as a training ground for artificial intelligence. It's not just corporate research groups like DeepMind putting StarCraft to the test, either. Amateur gamers and academics have also taken on the challenge of attempting to beat human StarCraft players with autonomous bots.

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Lumina Networks

We believe the future is open software networks that give service providers control over how they implement their ideas and priorities for change. We believe our job is to be the catalyst to bring open software networking out of the lab and into their live network. We started Lumina Networks to ensure that providers can use open source in critical use cases, not just experimental ones. Yet, delivering technology by itself is not enough. Our customers are learning and doing with us, so they acquire the skills, practices and tools needed to develop and manage the platforms we jointly deploy.

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How to Overcome the Three Biggest SaaS Marketing Challenges

Article | July 15, 2021

The Software as a Service (SaaS) sector is one of the most essential industries globally, and it's always more complex than general customer marketing. Of course, we do not mean that customer marketing is effortless. However, it's relatively more traditional than SaaS marketing. Many people are not familiar with the right strategies for selling non-physical products. As selling such products can possess its own set of challenges, SaaS marketing gets even more demanding. What is SaaS Marketing? Let’s begin with the basics of SaaS — Software as a Service or SaaS allows users to use cloud-based applications. Businesses or users hire SaaS applications for a variety of purposes. SaaS marketing is nothing but the process to market such applications. Marketers use various strategies to sell SaaS software and achieve the highest possible conversion rates. However, there are several significant challenges in this quest. First, SaaS tools don’t have any physical presence, and selling something that doesn’t physically exist is not easy. Furthermore, we live in a world where SaaS platforms are constantly changing. With newer features and updates being launched every day, marketers struggle to nail down even their most basic payment app before the next version is launched. If your company sells software, you must adopt the right SaaS marketing strategy to get more customers and, ultimately, higher conversions. But how will you get started? And, most importantly, how to overcome those three biggest SaaS Marketing challenges? Let’s find out! The Three Biggest SaaS Marketing Challenges The following are the three biggest marketing challenges faced by SaaS marketers. ● Earning The Loyalty from Customers ● Getting Noticed ● Dealing With Conventional Complainers If your company faces the same B2B SaaS marketing challenges, it will be fair to say that you are doing well. Their occurrence is pretty common. After working with several B2B companies, ranging from 2 million annual revenue to 2 billion, you will notice that most of them face the same challenges mentioned above. The demand for cloud-based services is increasing day by day. And eventually, this has birthed thousands of SaaS companies all around the globe. Locations beyond Silicon Valley are seeing the rise of several new SaaS providers ranging from government agencies to small and mid-size start-ups. As a result, the competition is mounting at an incredible pace, and the niches are getting overcrowded. Suppose you do not invest in improving your company’s digital presence, brand identity, and messaging. In that case, you are more likely to drown in the ocean of the current marketplace where new companies are entering every single day. Here’s how you can deal with these core SaaS Marketing Challenges: Getting Noticed Being a SaaS marketer, analyze your strategy by asking yourself this question — How can your company address the customers’ needs in areas that your competitors are not targeting? The SaaS marketplace is constantly evolving, and even the slightest functionality or design improvement in the competitor’s platform is enough to take away the sleep of your company leadership. Traditionally, most SaaS marketers sell their product by convincing companies that they have a problem, and only our SaaS platform can fix it. But, now things have changed, and there’s a lot to compete with. Several market analysts have claimed that smart process apps are overlapping with SaaS. While SaaS companies are focusing on only the US market (and ruling it as well), traditional software companies have taken their business to Asia and Europe and have established themselves there. As a consequence, SaaS marketers are faced with more than just indifference and ignorance. Being a SaaS provider company, you must make the most out of the predicted surge in growth and go beyond the traditional SaaS marketing strategy. Plus, you need to develop newer ways to stand out in the competition of sameness and simultaneously reach more customers. Earning Customer Loyalty There was a time when data migration was one of the most challenging tasks for SaaS marketers. Thankfully, we are past that time now. Today, companies can easily migrate data from their existing system to the cloud base. Moreover, they will have a painless process to manage it post the migration. But, here’s a catch! If you can do this with ease, your competitor can also do that. This drastically increases the importance of customer acquisition and customer retention. And for this reason, you must have an effective SaaS marketing strategy that aims at earning customer engagement and loyalty. Dealing with Conventional Complainers Many industries are yet to accept the benefits of cloud computing. However, if you target them in the right way, your state-of-the-art SaaS platform can replace their incumbent software system. Someone has spent years building that existing software system, and they are more likely to lose sleep because of this takeover. Such people, in most cases, are the decision-makers and won’t be keen to relinquish their hold on the existing system. It would help if you won them to sell your product. Your strategy should be able to handle an onslaught of their objections. They might claim that data migration is so complex that it’s not worth their time and money, or they will even say that the cloud is not secure enough. You have to do your homework and be prepared to tackle these hurdles. So, be excellent and well prepared. And, the chances are, you will convince them. How to Overcome SaaS Marketing Challenges? Any SaaS Vendor must dig deep into all the significant concepts of marketing. But, before getting started with it, it's essential to learn about the customer journey. It helps SaaS marketers to deploy and integrate an effective strategy that works well with all the following stages of the customer journey: ● Awareness ● Consideration ● Decision ● Retention ● Advocacy The reality is, there are hundreds of marketing strategies that can produce great results. However, the following ones are the best of all when it’s about marketing your SaaS products. Develop an Effective Content Marketing Strategy Be it any online business, content marketing is one of the most important marketing aspects. It can be beneficial for your SaaS company by letting your audience understand the advantages of your product and improving your online presence. You can also use various social media platforms to extend your approach for offering the same information. Credibility, trust, and existence are the critical aspects of every SaaS marketing niche, and content marketing is the most effective way to spread your valuable information and earn trust. Set Realistic Goals Directionless movements are a total waste of time. Instead, all successful SaaS marketing strategies begin with defining clear and realistic goals. To do that, you must figure your business most comprehensively. Then, set tractable and specific goals keeping the key metrics and KPIs in mind. And lastly, work on how the marketing and sales team can align to get the best results. Remember, bigger goals are more challenging to achieve. You can break them down into smaller ones to ease the process. Offer a Free Trial of Your SaaS Product This helps to attract new customers and make them aware of the benefits of your SaaS product. It will also help you with lead generation. Make sure to optimize the conversion rate during this trial period. And, present the best customer service to your prospects so that they will be with you for long. Frequently Asked Questions What are the most effective SaaS marketing techniques? The following are the most effective strategies to overcome various SaaS marketing challenges in 2021: ● Develop a content marketing plan ● Offer free SaaS trials ● Focus on SEO ● Refine your Call-to-Action ● Refine your PPC campaigns ● Strengthen SaaS review websites Why is Saas marketing important for businesses? Even though SaaS marketing is challenging and requires exceptional marketing strategy, it comes with its own advantages. They include: ● Customer marketing & customer communication ● Long term customers ● Brand awareness ● Short sales cycles ● Lead generation What are the biggest challenges in SaaS marketing? 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They include: Customer marketing & customer communication Long term customers Brand awareness Short sales cycles Lead generation" } },{ "@type": "Question", "name": "What are the biggest challenges in SaaS marketing?", "acceptedAnswer": { "@type": "Answer", "text": "The following are some of the biggest and the most common SaaS marketing challenges: Earning loyal customers Standing out from the crowd Dealing with conventional complainers Getting noticed Generating value" } }] }

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Phishing Health Care: Prevent Criminals from Taking Advantage of Emergency Situations

Article | August 18, 2020

Phishing and email-borne malware has a disproportionately large impact on the healthcare industry. Among the 3,950 breaches examined in the 2020 Verizon Data Breach Investigations Report, 521 took place within health care organizations, making the industry the most frequently victimized among those included in the report. Financially-motivated criminal groups are particularly likely to target health care organizations, and human error often plays a role in their success.

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The 6 Biggest Challenges to AI Marketing Success

Article | July 8, 2021

More and more businesses are utilizing modern-day opportunities that Artificial Intelligence (AI) brings to the digital world. Perhaps, it is the most necessary step for the companies to stay competitive in 2021 and beyond. With the rise of technology, AI-powered marketing platforms are becoming more common and simpler to use. However, this does not mean that they do not have any challenges. A survey conducted by Teradata, a data analytics firm, reports that around 80% of enterprise-level organizations have already embraced some form of AI. Out of them, approximately 32% of businesses use AI algorithms for marketing purposes. However, more than 90% of these companies have already anticipated significant barriers to adopt and integrate AI. In this article, we shed light on the six biggest challenges in AI marketing. It will help you act and avoid common problems if you encounter such roadblocks when integrating AI into your marketing strategy. Here are some highlights of this article: ● Many popular media sources have created hype around AI. Therefore, people, in general, don’t trust it. ● There isn’t enough skilled workforce to fill AI-related positions in organizations. ● AI software needs high-quality data. Unfortunately, maintaining such data quality is not that easy. ● AI software needs significant investment. ● Many small businesses lack IT infrastructure resources. Cloud services help them overcome this problem. As you can now understand, most challenges in AI marketing revolve around business alignment, data, or people. While every organization varies and will face the AI adoption process differently, there are a few common challenges in AI marketing you should be aware of. So, without further ado, let’s take a look at the most common AI challenges that digital marketers face. Lack of Knowledge of AI Systems When it's about total AI implementation, your company’s management must have a deeper understanding of the role of AI in Digital Marketing, the latest AI trends, data challenges, and all other essential aspects. However, many marketers lack a proper understanding of the use of AI technologies in marketing. On top of this, unfortunately, AI comes with a variety of fears and myths. While some people think they need an in-house data science team for complete AI adoption, others believe in those sci-fi fantasies showing how smart robots can end humanity. Insufficient knowledge of AI is one of the biggest challenges in AI marketing. It hinders the AI implementation in several ways and ultimately delays the success. How to get rid of this? First things first — start by acquiring knowledge. It might sound a bit demotivating, but we do not mean you have to be a data scientist for this. You can look at other giants in the industry, carefully analyze how they are deploying AI into their business, and act accordingly. Next, know more about the current AI technologies for marketing — you can either DIY or get help from an expert. Once you have adequate knowledge about it, you know what to expect from AI and what not. Challenges in Integration Deployment and integration of new technology requires skills. Integrating Artificial Intelligence into your business is not an easy task. It is a complicated job and requires proper knowledge. You first have to set up interfaces and other elements to address all your business needs. Such steps may require complex coding. Developers must consider feeding the data into the system, labeling, data storage, data infrastructure needs, and much more while setting up the elements. Then comes the model training and testing part. It is necessary for the following reasons: ● To check the effectiveness of your AI ● Develop a feedback loop for constant improvement ● Data sampling for reducing the stored data and run models even faster The biggest challenge here is — how to confirm if it's working correctly? And, is it worth the money you are investing? Arguably, the only and the most effective way to overcome this hurdle is to work closely with your vendor to ensure that everyone is well aware of the process. Plus, there should not be any limitations in the vendor’s expertise. They should be capable of guiding you beyond building the AI models. When you implement Artificial Intelligence with the right strategy, you indirectly reduce the risk of failure. And, once you successfully implement AI into your system, you will still have to educate your marketers to use it efficiently. In this way, your people can understand how to interpret the results they receive by proper implementation and effective use of the AI model. Poor Data Quality or Lack of Data High-quality data is essential for Artificial Intelligence. Any AI system will come up with poor results if you provide it with insufficient or poor-quality data. As the Big Data world is evolving every day, businesses are gathering vast amounts of data. However, this data is not always up to the mark. It's either insufficient or not good enough to drive a profitable AI marketing strategy. Such data-related challenges in AI marketing prevent companies from capitalizing on Big Data. For this reason, as a business, you should always make sure the data you get is clean and rich in quality. Otherwise, you will experience unsatisfactory results from the AI, and it will negatively influence the overall success of your AI-powered marketing campaigns. Budget Constraints for AI Implementation Many companies lack the necessary budget for implementing AI into the system. Even though AI has the power to provide impressive Returns of Investment (ROI), hefty investments are still one of the biggest challenges in AI marketing, especially for smaller and mid-size companies where the budgets are already stretched. AI-powered platforms come with high-performance hardware and complex software. And, the deployment and maintenance of such components are costly. Such budgeting challenges in AI marketing can limit the opportunities for businesses to utilize AI technology to the fullest. Thankfully, this is now becoming a thing of the past as many affordable AI vendors are coming ahead for the rescue. With them, you do not have to invest in developing in-house solutions. Moreover, they allow you to implement AI tech in a relatively cheaper and faster way. Privacy and Regulations Artificial intelligence is still new to this world, and it's growing at an incredible pace. Chances are that the rules and regulations surrounding AI will change and tighten up over the coming days. The data collection and use of data policies already impact businesses that collect and use data from the customers based in the European Union and drive their Artificial Intelligence systems. The EU implemented GDPR in 2018, and it has made the data collection, and data usage rules even stricter for companies. Ultimately, companies now have to be extra careful while collecting and using customer data. Furthermore, several businesses are restricted from storing the data offsite for regulatory purposes. This means that they can no longer utilize cloud-based AI marketing services. Constantly Changing Marketing Landscape AI is a new marketing tool and can bring disruption to traditional marketing operations. For this reason, marketers evaluate how AI can create new jobs and, at the same time, replace older jobs. One survey suggests that AI marketing tools are more likely to replace the jobs of around 6 out of 10 marketing analysts and marketing specialists over the coming years. Overcoming The Challenges in AI Marketing Yes, such challenges in AI marketing can sometimes slow down your campaigns and affect the outcomes of your AI-driven software. But fortunately, there are a variety of alternative solutions. You need to consider the following steps to rule out the common challenges in AI marketing we discussed earlier. ● Develop a target oriented marketing strategy ● Get the money before you roll out AI in marketing ● Train your marketers ● Recruit the right talent Developing business cases, recruiting talented marketers, measuring the ROI, and getting the required investment — probably, none of these steps sound interesting. But, when it is about the reality check of your AI marketing strategies, they are absolute methods that can open the door to actual Artificial Intelligence payoffs. In the end, every company's responsibility is to make sure that they are using the AI system responsibly so that they can benefit their customers in the best way possible. Frequently Asked Questions How does AI affect marketing? AI helps marketers to spot the latest internet trends and predict them for the future. Such trends are necessary to learn the current marketing facts and eventually help with significant tasks such as budget allocation and setting up the target audience. Plus, AI effectively reduces the money and time usually spent by companies on digital advertising. Simultaneously, it leads businesses towards smarter and more targeted advertising campaigns. As a result, many companies have implemented AI into their digital marketing strategies as it can increase sales and save money at the same time. On a bigger scale, AI has an impact on global trends, sustainability, and scalability. Even government issues, major public concerns, and major cities around the globe have seen positive effects of AI. AI can make the world a better place if used in the right way! How is AI used in digital marketing? Companies are utilizing some stand-out developments for improving the customer experience with the proper use of AI. For example: ● Image recognition technology ● Predictive and targeted content ● Content creation ● Chatbots With these, AI enhances customer support, and provides more relevant and targeted content to the customers. Why is artificial intelligence critical in marketing? With the correct use of Artificial intelligence, businesses can collect, analyze and store a large amount of data. As a result, AI is the best way to learn the latest marketing trends and incorporate them into your marketing strategy. In general, Artificial Intelligence has the power to help your company reach potential customers and provide them with easy access to make purchases. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How does AI affect marketing?", "acceptedAnswer": { "@type": "Answer", "text": "AI helps marketers to spot the latest internet trends and predict them for the future. Such trends are necessary to learn the current marketing facts and eventually help with significant tasks such as budget allocation and setting up the target audience. Plus, AI effectively reduces the money and time usually spent by companies on digital advertising. Simultaneously, it leads businesses towards smarter and more targeted advertising campaigns. As a result, many companies have implemented AI into their digital marketing strategies as it can increase sales and save money at the same time. On a bigger scale, AI has an impact on global trends, sustainability, and scalability. Even government issues, major public concerns, and major cities around the globe have seen positive effects of AI. AI can make the world a better place if used in the right way!" } },{ "@type": "Question", "name": "How is AI used in digital marketing?", "acceptedAnswer": { "@type": "Answer", "text": "Companies are utilizing some stand-out developments for improving the customer experience with the proper use of AI. For example: ● Image recognition technology ● Predictive and targeted content ● Content creation ● Chatbots With these, AI enhances customer support and provides more relevant and targeted content to the customers." } },{ "@type": "Question", "name": "Why is artificial intelligence critical in marketing?", "acceptedAnswer": { "@type": "Answer", "text": "With the correct use of Artificial intelligence, businesses can collect, analyze and store a large amount of data. As a result, AI is the best way to learn the latest marketing trends and incorporate them into your marketing strategy. In general, Artificial Intelligence has the power to help your company reach potential customers and provide them with easy access to make purchases." } }] }

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NISI Developing Innovative Medical Technologies with NetApp ONTAP AI

Article | August 7, 2020

The NISI Group (NISI) is a medical technology business headquartered in Hong Kong, specializing in the development, manufacture, and sales of innovative surgical and diagnostic products. Its corporate mission is to become a world leader in noninvasive surgical innovations.NISI first used an NVIDIA DGX-1 as a high-performance computing node to help with its survey of research courses. Because the initial training dataset was not large, the simulation was done entirely on the NVIDIA DGX-1. However, NISI was collecting more labeled medical images for training its new network and sourcing data from several hospitals and clinical centers, and its data volumes were growing exponentially.

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Spotlight

Lumina Networks

We believe the future is open software networks that give service providers control over how they implement their ideas and priorities for change. We believe our job is to be the catalyst to bring open software networking out of the lab and into their live network. We started Lumina Networks to ensure that providers can use open source in critical use cases, not just experimental ones. Yet, delivering technology by itself is not enough. Our customers are learning and doing with us, so they acquire the skills, practices and tools needed to develop and manage the platforms we jointly deploy.

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