Let’s dive in!

1. Grammarly: AI-Powered Writing Assistant

• The Value: Clear, error-free communication is vital for internal and external success. Grammarly goes beyond basic spellchecking. Its AI analyzes your writing to improve clarity, conciseness, tone, and overall professionalism.
• Workflow Impact:

• Ensures high-quality emails, reports, and presentations.
• Helps maintain a consistent brand voice.
• Saves time on proofreading and editing tasks.
• Getting Started:

• Install the browser extension or desktop application.
• Experiment with free features before considering the premium version for advanced suggestions.
• Encourage employees to adopt it for polished communication.

2. Jasper.ai: Content Creation Powerhouse

• The Value: Jasper is an AI writing tool that excels at generating various content, from marketing copy and blog posts to social media captions. It utilizes cutting-edge natural language processing to produce human-quality text tailored to your specifications.
• Workflow Impact

• Speeds up the content creation process.
• Overcomes writer’s block and sparks new ideas.
• Helps repurpose existing content for different formats.
• Getting Started:

• Start with a free trial to see if it suits your needs.
• Explore various templates provided by the platform.
• Integrate it into your content workflow, but remember, human editing is still necessary for the best results.

3. Otter.ai: Meeting Transcription and Note-Taking Simplified

• The Value: Otter.ai automatically transcribes meetings in real time, creating searchable, shareable text. It can identify different speakers and integrates with popular video conferencing tools.
• Workflow Impact:

• Frees up meeting attendees to engage fully, rather than frantically note-taking.
• Makes meeting content accessible and actionable.
• Helps those who couldn’t attend catch up easily.
• Getting Started:

• Offer Otter.ai to teams that have frequent meetings.
• Use the “search” function to quickly find relevant parts of discussions.
• Consider upgrading for additional collaboration features.

4. Descript: AI-Assisted Audio and Video Editing

• The Value: Descript brings the power of text-based editing to audio and video. AI-powered transcriptions allow you to edit recordings by manipulating text – shortening, deleting, or rephrasing sections with a few clicks.
• Workflow Impact:

• Streamlines podcast editing, video production, and customer interview analysis.
• Reduces production costs and time.
• Makes content more accessible through features like captions and transcripts.
• Getting Started:

• Try it for video projects where editing “ums” and “ahs” is usually tedious.
• Leverage the “Overdub” feature to correct mistakes with an AI-generated voice.
• Experiment with the screen recording tool for tutorials and demos.

5. Krisp.ai: Crystal-Clear Communication

• The Value: Krisp.ai leverages AI to remove background noise during calls and video meetings. It works in real-time, ensuring a distraction-free, professional audio experience, especially for hybrid or remote teams.
• Workflow Impact:

• Eliminates noisy distractions during important client calls and presentations.
• Allows employees to work productively from anywhere.
• Enhances overall meeting quality and focus.
• Getting Started:

• Integrate Krisp.ai with your preferred communication platforms.
• Provide access to team members regularly facing background noise issues.
• Encourage its use for external-facing communications.

Important Considerations as a Manager

• Align AI tools with your goals: Choose tools that address challenges in your company’s workflow.
• Start small: Experiment with one or two tools before expanding.
• Train your employees: Provide training and resources needed for adoption.
• Measure impact: Track metrics to see if the AI tools are making a difference.

You Go It – Let’s Start Now

These five AI tools represent a small sampling of what’s currently available. By strategically adopting them, you’ll transform your workflow, free up your teams’ time, and gain a competitive edge in a fast-paced business landscape.

Start with brainstorming session with your team. I am sure everyone today already use AI tools and have their favorites. Setup SMART goals and plan to win first battle quickly, so everyone get on the train. Remember – there’s is no way back on this AI train.

The post Agencies and Media Companies: 5 AI Tools For That Can Transform Your Workflow (and How to Get Started) appeared first on Mission AI.

This article aims to shed light on the realities of AI and provide a practical framework to help you make strategic decisions about implementing AI into your organization.

Understanding AI: Cutting Through the Hype

Let’s start by defining AI in simple terms:

• AI at its core: Artificial Intelligence refers to computer systems that can perform tasks typically requiring human intelligence. This includes learning from data, recognizing patterns, making predictions, generating creative content, and automating processes.
• Types of AI:

• Machine Learning (ML): Enables systems to automatically learn and improve from data without explicit programming. This is the most common type of AI currently in use.
• Natural Language Processing (NLP): Focuses on understanding human language, allowing computers to interpret text, speech, and sentiment.
• Computer Vision: Allows machines to “see” and understand images and videos, used in tasks like image recognition and facial analysis.

AI’s Transformative Potential: The Benefits for Businesses

AI offers numerous advantages that can be harnessed across diverse industries and departments:

• Enhanced Productivity: Automate repetitive or time-consuming tasks, freeing up employees for higher-value work.
• Improved Decision-Making: Analyze large datasets to uncover patterns and insights not visible to the human eye, empowering data-driven decisions.
• Optimized Customer Experiences: Use chatbots for 24/7 support, personalize recommendations, and analyze customer sentiment to improve products and services.
• Predictive Maintenance: Anticipate equipment failures before they occur, reducing downtime and costs in manufacturing or asset-heavy industries.
• Fraud Detection: Spot atypical patterns that may indicate fraudulent transactions, protecting companies from financial losses.

Demystifying the AI Implementation Process

Embarking on an AI project involves several key steps:

1. Identifying the Problem: Avoid implementing AI just for its own sake. Define specific pain points, inefficiencies, or opportunities where AI could create significant value.
2. Data is King: Ensure your organization has robust data collection and management practices. AI models rely on high-quality, relevant data to function effectively.
3. Assessing Feasibility: Consider these factors:

• Technical expertise: Do you have internal AI capabilities or will you need to work with external partners and vendors?
• Budget: AI projects can vary in cost, from affordable cloud-based solutions to more complex custom implementations.
• Data availability: Does your company have access to the necessary data to train and deploy effective AI models?

4. Start Small: Begin with a pilot project in a well-defined area. This allows you to evaluate the impact, address challenges, and gain confidence before a wider rollout.
5. Build Trust and Adoption: Explain the benefits of AI and address any employee concerns about job displacement. Focus on how AI augments human capabilities, enabling a collaborative workforce.

Ethical Considerations

• Bias: AI models can perpetuate biases if they are trained on biased data. Make a conscious effort to ensure data sets are diverse and minimize unfair outcomes.
• Transparency: Implement explainable AI techniques, particularly when AI impacts high-stakes decisions. This helps understand the reasoning behind AI predictions and builds trust.
• Privacy: Adhere to data privacy regulations, safeguarding sensitive customer and employee information.

Staying Ahead of the Curve

AI technology is constantly evolving. Here’s how to stay informed as a manager:

• Follow Leading Resources: Subscribe to industry publications and blogs that cover AI developments and real-world applications.
• Attend Conferences and Webinars: Participate in events focused on AI in your industry to network and learn from experts.
• Consider Continuous Learning: Encourage your employees and yourself to participate in online courses or workshops on AI basics and practical applications.

Conclusion: Your Time with AI

Now we all know – AI is here to stay. By understanding its fundamentals, recognizing its tangible benefits, and adopting a strategic approach, you can position your medium to large-sized company to reap the rewards of this transformative technology. Think of AI as a powerful tool in your team toolbox, enabling innovation, improving efficiency, and driving your business toward even greater success. You will have to grasp it quickly, and with help of your team – and some AI tools – it was never a better time to start than today.

The post Demystifying AI: What Managers Need to Know to Make Informed Decisions about Implementing AI into Your Organization appeared first on Mission AI.

The domain name Mission.ai stands as a prime digital asset for AI companies. This analysis explains the unique value of Mission.ai and its impact on AI business growth.

Secure Brand Identity and Recognition

Domain Mission.ai creates instant recognition through its clear structure. The word “Mission” connects directly with purpose and goals. The .ai extension signals immediate AI industry presence. This combination builds trust with users and partners.

The domain name impacts user psychology in specific ways. Users see Mission.ai as authoritative because it uses a single, clear word. The short length makes the domain easy to remember. The .ai extension proves dedication to artificial intelligence technology.

A potential client visits two AI companies online. The first uses companyaiinnovations.co and the second uses Mission.ai. The impact hits instantly. Mission.ai creates that “wow” moment – clean, professional, memorable. This matters in AI, where trust builds from the first interaction.

SEO Benefits of Good AI Domain

Mission.ai offers clear technical advantages in search results. Search engines give higher rankings to short, relevant domain names. The .ai extension receives special attention in AI-related searches. These factors increase organic traffic potential.

The domain contains exact-match AI keywords. This helps Mission.ai appear in specific AI industry searches. The short length reduces typing errors and improves user access. These elements increase direct traffic to the website.

Adding to this domain have high marks for security and authority with Google search algorithms. Domain is owned by the same person (that is me) and on active on the secure service located in the USA West coast for over 7 years, since it’s inception. I was the first person to purchase this domain and never sold it or rent it out – it pure and clean as it can be in the eyes of Google.

Plus – we regularly published AI related content to make sure domain keep it’s ranking and it regularly visited and crawled by Google bots. There are tags and categories related to many industries where AI applications are growing, all in order to ensure domain will keep relevant content and can achieve great results in the hands of new owner.

Be Confidently at the Top of Market

This domain signals market leadership through its premium status. One-word domains show early market entry and strategic planning. The name builds credibility with investors and partners. This positioning helps attract top talent and customers.

The domain supports international expansion plans. The word “mission” carries weight across cultures. It translates well. It means something. This matters for international expansion. Mission.ai works as well in Tokyo as it does in Toronto.

Technical Implementation of Good Domain

Owning Mission.ai and MissionAI.com provides practical benefits for technical teams. The short domain reduces character count in API endpoints. It creates clean email addresses for staff. The name fits well in documentation and code repositories.

The domain supports modern technical requirements. It works with all security protocols and certificates. The name allows flexible subdomain structure. These features help build stable technical systems.

Your AI Content Strategy

Your new Mission AI domain enables focused content creation. The name supports clear messaging about AI innovation. It helps explain complex AI concepts to users. The domain adds credibility to technical documentation.

The name aids social media presence and sharing. Users remember and type the domain easily. This increases direct visits to content. The short length helps in character-limited platforms.

Business Growth Impact for AI Startup

Creates specific business advantages for AI startup. The premium domain attracts partnership opportunities. It helps close sales through perceived market position. The name supports fundraising efforts with investors.

The domain will increase email open rates. Business contacts trust messages from short, premium domains. This improves communication effectiveness. The result shows in better business relationships.

Investment Value of Unique Domain Name

Owning Mission.ai represents a strong long-term investment. Premium AI domains increase in value over time. The short length and clear meaning maintain worth. This protects the initial domain investment. Juts recently in 2024. domain name sound.ai was sold for $250,000 and simple golf.ai changed owner for $140,000, you sale of You.ai domain for $700,000 still stand like a top purchase for AI extension.

The domain reduces long-term marketing costs. Companies spend less explaining their web address. The memorable name increases direct traffic. This lowers paid advertising requirements.

Mission.ai offers security advantages through simplicity. The short length reduces phishing attack surfaces. Users spot fake domains more easily. This protects company and customer data. The domain supports modern security standards. It works with all SSL certificates types. The name allows secure API implementation. These features build customer trust.

Performance Metrics and Future Growth

Mission.ai improves key performance indicators. Users type the domain correctly more often. This reduces lost traffic from mistakes. The result shows in better conversion rates.

The domain increases email deliverability rates. Spam filters trust messages from premium domains. This improves marketing campaign results. The effect shows in better ROI.

Mission.ai positions companies for AI market leadership. The name supports product line expansion. It works for future service offerings. The domain grows with the company.

The domain helps build lasting market presence. It supports brand recognition goals. The name maintains value over time. These factors protect company growth.

The post The Best .AI Domain on sale – domain for AI Startup or New Corporate AI Project appeared first on Mission AI.

Artificial Intelligence (AI) has been the subject of tremendous excitement in recent years. From futuristic (and sometimes alarming) depictions of sentient robots to the promise of self-driving cars, it seems the capabilities of AI are only limited by our imagination. Yet, beyond the headlines, AI is already transforming the way businesses operate, offering tangible advantages to boost productivity and efficiency.

As a company manager in a medium to large-sized organization, it’s easy to get caught up in the hype or dismiss AI as a far-off concept. But cutting through the noise is essential to identify practical applications suitable for your company’s needs. In this article, we’ll focus on real-world AI solutions that can enhance your company’s productivity today.

Practical AI Solutions – Where to Begin

Let’s explore some key areas where AI can have a significant productivity impact:

• Streamlining Routine Tasks: AI excels at automating repetitive, mundane tasks, allowing employees to focus on more complex and strategic goals. Consider these applications:

• Data entry and processing: AI can quickly and accurately handle large volumes of data, from invoice processing to customer record updates.
• Email management: Intelligent email sorting and prioritization help ensure that vital messages get prompt attention, keeping inboxes organized.
• Meeting scheduling AI-powered virtual assistants can coordinate schedules, reducing the back-and-forth of finding suitable meeting times.
• Augmented Decision-Making: AI can uncover patterns and insights within vast datasets that might otherwise remain hidden. This information empowers managers to make more informed, data-driven decisions.

• Predictive analytics: AI models can forecast sales trends, inventory needs, and potential customer churn, aiding in proactive planning and strategic action.
• Anomaly detection: AI algorithms can spot unusual patterns in financial transactions or system logs, potentially signaling fraud or security vulnerabilities.
• Recommendation engines: In customer-facing roles, AI can analyze client data to suggest tailored products, services, or content, enhancing the customer experience.
• Enhanced Customer Service AI-powered tools are revolutionizing how businesses interact with customers:

• Chatbots and virtual assistants: These AI systems handle common inquiries, provide support 24/7, and escalate complex issues to human agents, improving responsiveness.
• Sentiment analysis: By analyzing customer feedback from surveys, social media, and other channels, AI can gauge overall satisfaction and pinpoint areas needing improvement.
• Personalized communication: AI can tailor product recommendations or marketing messages based on individual customer preferences and behaviors.
• Optimized Workflows: AI can identify bottlenecks and inefficiencies in existing processes, leading to improvements that benefit the entire organization.

• Process automation: AI can automate complex workflows across multiple systems, reducing manual intervention and the potential for errors.
• Supply chain management: AI-powered forecasting tools can optimize inventory levels and predict disruptions, helping prevent stockouts and ensuring a smooth flow of goods.
• Document review and summarization: For document-heavy industries, AI can significantly speed up processes like contract review or legal document analysis.

Implementing Practical AI Solutions: Considerations and Tips

Adopting AI in your organization requires careful planning and consideration. Here are some tips to get you started:

• Start with a clear problem: Don’t adopt AI just for the sake of it. Identify specific pain points within your company where AI could make a noticeable difference.
• Focus on data quality: AI models are only as good as the data they are fed. Ensure your company has robust data collection and management practices.
• Build trust: Explain the benefits of AI to your employees, addressing any concerns about job displacement. Emphasize that AI aims to augment human capabilities, not replace them.
• Partner with experts: If your in-house AI expertise is limited, consider collaborations with external consultants or AI solution providers.
• Iterate and improve: AI implementation is an ongoing process. Gather feedback, monitor outcomes, and refine your AI models over time.

The Future of AI and Productivity

AI’s potential to transform workplaces is still in its early stages. As AI technologies continue to evolve, we can expect even more sophisticated applications to emerge:

• Hyper-personalization: AI will enable businesses to tailor experiences to an unprecedented degree for both customers and employees.
• Intelligent knowledge bases: AI-powered search will revolutionize how employees access and utilize internal company information.
• Predictive maintenance: In manufacturing and asset-heavy industries, AI will predict equipment failures before they happen, reducing downtime and costs.
• AI-generated content: AI tools will assist in creating marketing materials, reports, and even code.

Embracing the Change The practical AI applications described in this article can drive significant productivity gains for medium and large-sized companies. By taking a strategic approach, investing in the right tools, and building a company culture that embraces AI-powered innovation, you can position your business for long-term success. 

As with every process, it should start from the inside team and focus on setting up smart goals that are achievable in the desired time frame. Remember – there was never an easier time to start implementation with AI. Embrace the change.

The post Beyond the Hype: Practical AI Applications for Productivity appeared first on Mission AI.

Challenge #1: The Cost Factor

AI development and implementation can be expensive. Businesses need to factor in budgeting for hardware, software, data acquisition, and hiring or upskilling specialized AI personnel. While AI’s ability to reduce costs and boost revenue in the long run is significant, overcoming the initial investment hurdle can be daunting.

Addressing the Cost Challenge:
Start small: Don’t feel pressured to deploy all-encompassing AI solutions at once. Identify a single, well-defined problem that AI can solve efficiently, and focus on demonstrating clear returns.
Consider cloud-based AI: Many cloud providers offer scalable, on-demand AI tools and infrastructure, reducing upfront capital expenditures.
Proof of Concept (POC): Launch a limited pilot project to test an AI solution before fully committing to large-scale deployment. A successful POC helps secure executive buy-in and validates the investment.

Challenge #2: Data Woes

AI systems are fueled by massive amounts of data. Gathering, cleaning, and preparing high-quality datasets can be a time-consuming and resource-intensive process. Additionally, incomplete or biased data can lead to inaccurate AI models, undermining the entire project.

Addressing the Data Challenge:
Data Strategy: Establish a comprehensive plan for data collection, storage, and management early in the AI project. Focus on data quality, not just quantity.
Data Labeling: For supervised learning approaches, ensure your data is accurately labeled. Consider outsourcing this if internal resources are limited.
Bias Mitigation: Actively counter biased data. Assess the diversity and representativeness of datasets to ensure your AI model is accurate and fair.

Challenge #3: Integration Headaches

Integrating AI seamlessly into existing business systems and workflows can be tricky. Compatibility issues, legacy systems, and data silos can complicate the process. A lack of proper integration can limit AI’s effectiveness and cause disruptions if not handled with care.

Addressing the Integration Challenge:
Thorough Assessment: Before implementation, critically evaluate your current infrastructure. Identify potential bottlenecks and compatibility issues to proactively address them.
Phased Implementation: Gradual integration can minimize disruptions, allowing you to test and learn in phases.
APIs and Open Standards: Choose AI solutions that prioritize interoperability, using APIs and open standards to facilitate communication with your existing systems.

Challenge #4: The Talent Gap

Building and managing AI projects requires specialized skills. Finding and attracting top-tier data scientists, AI engineers, and machine learning experts can be challenging, considering the high demand in the market.

Addressing the Talent Challenge:
Upskilling and Reskilling: Invest in training programs for your existing workforce to develop basic AI competencies. Explore online courses and micro-certifications.
Partnerships: Collaborate with external consulting firms or academic institutions to tap into specialized expertise as needed.
Build an Attractive Workplace: To attract top AI talent, cultivate a culture that champions innovation, offers competitive compensation, and provides opportunities for continuous learning.

Challenge #5: Trust and Transparency

Many AI models, particularly deep learning techniques, function as “black boxes.” It can be challenging to understand how they arrive at decisions, impacting trust in the technology. AI’s lack of transparency presents a barrier for managers, especially in regulated industries where explainability is essential.

Addressing the Trust and Transparency Challenge:
Explainable AI (XAI): Explore techniques and tools that aim to make AI models more interpretable. This helps build trust and facilitates compliance.
Monitoring and Auditing: Implement regular reviews and auditing of your AI systems to detect and mitigate bias or unexpected behaviors.
Ethical Frameworks: Establish clear ethical principles throughout your AI development process to guide decision-making and promote responsible AI use.

Conclusion

Successfully implementing AI requires a strategic approach and a willingness to confront these common challenges head-on. By identifying potential obstacles early, addressing them systematically, and cultivating a culture of data-driven innovation, managers in large companies can position their organizations to fully reap the benefits of AI and drive sustainable competitive advantage in the years to come.

The post Overcoming Obstacles: Addressing Common Challenges in AI Implementation appeared first on Mission AI.

I will skip the whole future of work as #slack or Asana, see it and go a bit further.  IT, engineering and data jobs are in high demand, but even faster id growth in low-code and no-code moment, and its matter of couple of short year before AI will take over most of coding jobs all-together. For sure AI can learn to code faster than humans and don’t need caffeinated energy drinks or visits to a gym to keep going (yes, we tech guys should go to gym more often). Will AI overtook coding? Undoubtedly. Its same as 100-years ago humans were trying to compete with machines in digging a tunnel through hills and mountains. Pointless. But, AI will need our understand of world around, our understanding of humans for which it will code. AI will need our empathy to guide them. Otherwise products will not serve  as required, as every product or service in it’s core have human needs. Therefor in 20 years, when my little angels reach employment age, I envision that they will co-work with her AI assistants, building some amazing new things and leading them in understanding humans. Our kids will need emotional intelligence, empathy developed deeply than any generation before.

What else we can bring to uneven battle for jobs -against AI and machines? We can be brave. This is our market advantage over machines. Courage. They can not take risks that our humans brain can. And this world would not be as wonderful as it is without risky moves. Not one robot or machine will decide to burn at stakes, claiming that Earth is round when everyone else thinks its flat plate on the back of four turtles. Yet, Giordano Bruno stand for what we know its a fact today, showing bravely that will never be matches by AI. We humans – must stand out with developing emotion as our advantages to build world that we will love to live in.

Metaverse or omniverse, as Facebook (sorry, Meta) and NVIDIA call it is another way of merging our physical world with virtual worlds. Again, we already stepped into this world – just check your teenage neighbor that probably spend more time interactive with his Blizzard mates (real or virtual) than real friends on the park bench. New park benches are virtual. But let’s not be afraid of this change, but embrace it. I can see lot of very useful applications, not only limited to training AI in metaverse, but helping people too. As teenager I envision that hospitals of the future will be orbital station, circling around the Earth, powered by solar energy, taking advantage of lack of gravity and so on. But how will we visit our loved ones in orbital hospitals? In virtual world of course. Place where we could have a walk with our loved ones and spend more quality time. As someone whose family is stretched between several continents, I am sure that family gatherings will be easier with metaverse. Question is will school have a similar concept? Now, don’t’ get all negative and imagine a lot of kids placed in dark room with AR helmet strapped on their heads. Please. Think about forest, yes, really forest with fresh air, and kids walking with teacher, while AI robot accompany them and project hologram of Einstein walking next to them and explaining physics in nature. We can use technology to go further, learn more, be more connected, and – be more human. Changes is up on us – not AI. We must take responsibility for how future will shape.

What we exactly need to do? Be brave. To step into this new world of living and co-working with AI without fear and lead with our emotions and empathy – our understand that AI is part of our evolution and we must lead it to became – and stay – human. And for this to work, we should not be afraid of uneven battle with technology – but be brave – and lead with our empathy.

(opinion piece by Dean Lockhard of Mission.ai)

Photo of friend around pool by Eric Nopanen, from Unsplash.

Amazing featured photo of little girls with robot by Andy Kelly, also from Unsplash. Many thanks for use of photos.

The post Co-living with AI – metaverse and the future of work appeared first on Mission AI.

Understanding and devotion

Survey data pointed out the mature state of understanding AI as the important component of the organization’s future, as highlighted by the fact that Taiwanese companies are technically oriented and minded. This was especially evident in data showing that 52% of the companies deployed AI on their local system, and only 6% of surveyed considering discussion with senior management as an obstacle in further AI development. Clearly showing that Taiwan has strong technical orientation within enterprise and focus on advanced technologies, like implementation of AI will not be an obstacle in the future for Taiwan.

Which question should be asked at the beginning of the process, is a great point made by Huatai Electronics CIO Jinqiu Wang. It is very important to understand challenges and goals,  and build a clear roadmap before starting the AI journey. Setting up the right goal and expectations with stakeholders are imperatives for AI development within enterprises. Considering that AI will impact almost every process with companies -’AI is the new electricity’ as great Andrew Ng stated – use of AI will grow exponentially, and it will be important to understand and manage responsible AI, its impact, biases, diversity, and confidently lead with purpose driven goals  

Sharing the vision

I can confidently state  – there is NO better country in the world to dominate the future development of AI, than Taiwan. We can do this. Understanding, maturity, focus, technical knowledge, determination and resources are all present  Next step is to give our products wings..Yes, nobody will come to give us a spot we deserve in the great AI revolution. Same as a few decades ago nobody knew that their laptop was built in Taiwan, nobody will use our AI, unless we also build a vision for the future We must lead our own future.

Current lead in hardware is another proof of high level of product execution Taiwan is capable of -.staggering 63% market share for Taiwanese semiconductors companies, with lion share of 54% standing with TSMC hands (Source: TrendForce, March 2021). Even one of the most influential people of our times, German Chancellor Angela Merkel asked Taiwan and TSMC to help German automotive industry – showing tremendous influence of Taiwan semiconductor companies in the current landscape. This is another chance we should not miss. I encourage TSMC and UMC to take more significant roles in thought leadership. They are in the perfect position to be at the forefront of the technology revolution – create events, collaborations, educational programs and share their know-how in achieving amazing results within highly competitive markets. Semiconductor companies should partner with software companies producing AI software to offer initiative across the world.. This is also a great opportunity to share Taiwanes culture and increase visibility. 

‘100-year shortcut’

Tesla Motors is built on the promise of the automotive future, not on products it ships. Tesla became the most valuable car company in the world based on vision which CEO Elon Musk successfully shared – an act which I call a ‘100-year shortcut’. This vision rewarded Tesla with valuation higher than ‘mature’ car companies such as Ford and GM. What more it took around 100 years less for Tesla to reach the same (and higher) valuation. Important is to note that Tesla valuation is not built on the value of its products, as production is a very small percentage of the output numbers Ford and GM have, and product itself is far from perfect (even in my personal experience with Model S, I find it interesting but not satisfying to drive). Therefore, the product didn’t matter as much as vision in driving Tesla to the high position which holds today. Today is always shaped by the vision for tomorrow.

Being global is within the reach

Companies should not limit themselves to local customers, as your first customers are your stakeholder, and for startups – the first customers are like co-founders. They will help  build and shape company products and services. This means companies of all sizes should really invest in finding the right customers, who are willing to invest in open collaboration. Luckly, the current terrifying pandemic did bring one good thing  – everyone works remotely. Everyone is sitting in front of their Zoom screen and building relationships across the globe. This is another component which leveling the playing field for Taiwanese companies, as everyone has the same access to potential customers  – and tools to get followers behind their vision for the future of AI. 

We must show to the world the place we deserve in the great AI revolution. Taiwanese companies must invest in sharing their vision – and establishing their position in the global markets. They deserve it.

~~~~~~~~~~~~

For a full report on the state of Taiwanese enterprise AI, please contact Hive Ventures.

To contact Dean, author of this article: dean@mission.ai

The post Strong start for enterprise AI in Taiwan – must be followed by the captivating vision appeared first on Mission AI.

Yes, education will change a lot in the years to come and mostly thanks to artificial intelligence. Pushed by fast changes in society, changes in environment and needs for specific skill sets, need for different aspects of learning will emerge too. Another important step is that AI will take not only coworking, and then co-living with us  – but one much more important task – learning with us.

We will develop our skills and learn our future trades in coexistence with AI. And we better start now, as we (humans) have a bad habit of not adopting very well on changes, as Robin Winsor would suggest in one of my favorite TED videos. Already today, AI has important roles in education, transforming the industry. From all sides adding artificial intelligence to classrooms or rather on our laptops while sitting in bedrooms or in the park – which ever will be the learning space of tomorrow.

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Century Tech

Century Tech provides AI solutions that can help teachers personalize learning for each student, saving hours needed for preparation of material and immensely improve how each student will acquire knowledge. Century Tech is a great example of co-working with AI, or co-learning and co-teaching with AI. 

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Aleks by McGraw-Hill Higher Education

Aleks by McGraw-Hill Higher Education is similar to Century tech, allowing students to learn at their own pace, and giving teachers a very easy and quick way to allow each young student for individual progress in learning. 

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Nuance

When we look at how natural speech can help in education, Nuance is a great example of Ai tool that can improve the process for teachers and students. Nuance can listen to teachers and prepare material and transcribe it for sharing or translation as the simple example. Giving a natural text-to-speech will immensely change and improve learning on all levels, and therefore Nuance also focuses on companies and corporate training. 

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Alta by Knewton

Alta by Knewton – Alta can be the easiest explained as AI textbooks, and really it’s time to switch from multitasking from web search, to books, to writing notes, and moving to one AI tool that can give student comprehensive experience in learning.

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Cognii

Cognii, is an interesting conversational AI  learning assistant, which can be the closest example as an AI teacher. Cognii can help students learn and come to a conclusion through conversations, just like teachers and therefore it’s really close to what’s future in the classroom will look like. Or rather when learning from anywhere, the classroom is not needed to learn from AI. They are still irreplaceable for social contacts and development, so I don’t think we should totally replace classrooms, but rather they should evolve after 100 years too. 

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Blippar

Blippar AR demo teaching – we all learn and remember better is class is interactive, and Blippar comes there with AR and AI teaching abilities. Its tool is used in many demos, from Singapore Zoo to classrooms, scientist museums and companies. This is how lessons should look like – easy and interactive, quick and deep in understanding the core meaning of the lesson.

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Quizlet

In the end – here is an interesting tool for collective learning. Quizlet is a company using Ai to create interesting interactive quizzes that help everyone learn fast and in a more personalized way. We can see how easily Quizlet can improve by collection knowledge and adapt lessons based on the experience of millions of users. This is what we talk about in globalization of knowledge, where how we learn will be shaped by understanding on large scale what to focus on, how to optimize lessons and keep everyone up to date on the latest discoveries.  

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‘Take-home’ learning bonus

This is a free course by our favorite professor Dr, Andrew Ng, – Ai for everyone, available for free on Coursera and it’s an easy way to understand bases and focus in Ai in only a several hours. I did it myself and warmly recommend it to everyone, as there is mastery in easily explaining complicated concepts, something Dr Andrew Ng is great at. 

https://www.coursera.org/learn/ai-for-everyone

Enjoy ‘right-now’ bonus

This bonus takes only 10 minutes, great talk from TEDx by Dr. Lara Boyd where she describes how neuroplasticity gives you the power to shape how you learn and what you want to become with newly acquired knowledge. 

The post AI and education – how students and teachers benefit from AI and accelerated learning appeared first on Mission AI.

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Drift is famous for conversational marketing, which present simple yet powerful concept that selling is connecting to your customer needs, not talking about your product. It’s conversation that lead to understanding needs and finding a solutions that lay within the reach of each customer. Check video below.

Appier
Appier.com

Appier is focused on increasing conversion through your marketing and advertising efforts. From that stand point its easy to see it as a part of your suite or main tools, as it can bring savings at the front of your process, at point of customer acquisitions, and also can increase conversion, which is kind of magic of eCommerce, as each small percentage of increase in conversion mean that your WHOLE company process is more efficient as you getting more revenue for the same effort. Therefore I warmly recommend you to look at Appier and measure your conversion rate. Appier have an amazing suite of products and good resources too, check this one-hour webinar on how to respond to changing customer behavior.

Edited is amazing platform that comes with well designed suit fo tools and really give you seamless experience in working on your products and stocks. If you are interested just in price comparisons, there are a few simple and affordable options such as Prisync.

Visenze
Visenze.com

Visual search is another topic that is closely related to AI. For now I heaven’t see any real-world examples where it works smoothly and being really useful, but there are several interesting options. Yes, I am visiting startups and technology conferences in USA, Europe and Asia for years, and see ‘magic AI mirrors’ that should dress you up and similar presentations, but none really had good products choice or UI and UX that could create experience better than just using your mobile to shop while laying on sofa. Still, it’s early in Ai industry and in 5-10 years we will see real implementations.

Visenze is one of the companies that work on real-world solutions for visual search and I do think they are good option to consider, but previously make sure that you have clear understanding how new features will improve your process and influence your growth. They have great list of clients such as UNIQLO, Rakuten, Zalora, Urabn Outfitters – therefore it’s worth talking to them.

Shelf
https://shelf.ai

I mentioned my love for chatbot. I do think that most of communications and shopping will be done through chatbots int he future, it’s just case that they are still not as ‘smart’ as we would like to, so they can help us shop and order without any issues.

Well Shelf.ai is different story, this is the only company I know to offer almost out from the shelf solutions for shopping through voice chatbot and it actually works. You can watch demo below and I am looking forward to see more integrations and exciting news from Shelf team in Portugal.

There are other development companies that can build custom solution similar to Shelf, but it would take a long time and big budget. If you know for another company that offer good of-the-shelf chatbot, please let me know. I think Dialogflow is technology that can offer closest solution, but again you will need agency or a few developers to help you build AI solution with Dialogflow (which is Google products by the way, which is another value to it).

Check demo of Shift.ai shopping app on YouTube

How, we at Mission.ai help?
Dean (that’s me) helped several companies with their digital transformation strategy and execution. I started in 2006, when as Art director for a magazine publishing company, transformed it into a digital media powerhouse with eCommerce component and overall annual revenue of $60M. My love for eCommerce and automation never stopped and in 2016 I was chosen by Porsche Holding, retail arm of Volkswagen group with $25 bilion in revenue, to help them with digital transformation of purchasing cars online through AI chatbots and omni-channel experience. If you need help with your digital transformation and how to efficiently improve your business with AI, don’t hesitate to contact me, I do not charge for chat over a coffee (and maybe a cake too).

 

 

Below: In 2016. I presented AI chatbot solution to Porsche Holding at VW Group, as solution for the future car shopping in online or any point of sale environment. eCommerce can be applied to automotive market, move that Tesla proved with their business model.

 

 

 

 

 

 

The post eCommerce pandemic guide – AI tools and products for online shop success appeared first on Mission AI.

Just recently, in June 2020. Taiwan Vice Minister of Economic Affairs, Lin Chuan-Neng, said that government will invest in incentive to bring to island foreign investment and support advancing of the new technology opportunities for Taiwan. Program will focus on artificial intelligence, 5G and semiconductors, with expectations that over 6,300 jobs a year will be created.

Hard working, well educated, focused and innovative, young companies in Taiwan make a big step into the future. Next to startups, even a Taiwanese big players, such as HTC also working on an innovate AI solutions. Very welcome is to see that great support is given by Taiwanese Government, and this is the key reason why we believe the future is bright for Taiwanese development in the AI area, as regulations, privacy and data management will be very important components of any global AI eco-system. Therefore with Government involvement, Taiwanese companies can look to support from many angles and freely create open market for innovation, whcih is not available in some other countries.

Another good news is that you don’t have to search hard to find details about AI in Taiwan. In April of 2020. Netherlands Enterprise Agency published 55 page study “Artificial Intelligence; an overview of policies and developments in Taiwan” which you can read from their website – and present very comprehensive study that I greatly recommend. Report list budgets and development infrastructure with specific policies related to AI development in Taiwan, including ‘Taiwan AI Action plan” which intend to train 10,000 pioneers in intelligent application by 2021. as well as 1,000 high-caliber talents. Funding is readable available to startups for several years now, as news about technology unicorn companies are well tromped in media worldwide. For now Taiwan don’t have unicorn startups, but question is will one arise soon. Interesting articles from Findit suggest that could be just a matter of time. By my opinon to grow unicorns, culture and people are the main essence of the company and I personally love Taiwanese culture and respect it a lot. To become truly global company – expansion depends on the right products-market fit, which is timely placed in demographic movements. For sure AI is hot topic right now and its very possible that Taiwan can produce unicorn, what is need is bold strategic view to global extension, and products or services which cover the emerging thirst in the market.  Currently eCommerce is defiantly on huge spike due to change in customer behavior. While biotech and innovative well-being solution’s have a great potential due to unfortunate pandemic (recent example is deep01).

Currently Appier are the most founded of AI startups in Taiwan with $160M raised. Appier is focused on bringing AI solutions to marketing and advertising which can well align with boost in eCommerce sales. With clients such as Google, Rakuten and Carrefour, we can expect that Appier will continue to attract new customers and increase its value. For list of other AI startups and their funding, you can check this Crunchbase list and for news on Taiwan technology and startups good source of information if Tech in Asia website.

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JARVISH – creators of amazing AR and AI devices, including amazing JARVISH X motorcycle helmet that kick-off on kickstarter.
Jarvish.com

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Appier – marketing AI platform helping brands increase customer engagement through more efficient campaigns. As mentioned, Appier have impressive line of clients and it’s know as Taiwanese best founded AI company with $160M raised from 2012.
Appier.com

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Perfect Corp providing innovative shopping experience through AI and AR apps. Famous products is YouCam app, which helps millions of women around the world trying new markup, hair colors and other beauty products.
https://www.perfectcorp.com/business
Perfectcorp.com

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Viscovery is another interesting AI company from Taiwan, providing smart visual technology used for interactive shopping and visual search, together with advanced AI analytics about customer behavior.

Viscovery.com

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Taiwan definitely have the right formula with appropriate funding, Government support, the right culture and talented people within startup scene. Question is who will be the brave one to set sails on a global expansion – to become the poster-startup for Taiwanese AI industry – and without doubts the first Taiwanese technology unicorn.

We at Mission.AI intent to open an office in Taipei in the next several months, therefore making it our base of exploring AI developments in Taiwan and the whole of Asia too. We are looking forward to interviews and podcasts with AI startups, therefore this is just a first of our articles about AI in Taiwan.

The post AI startups in Taiwan – bright future with government support appeared first on Mission AI.

If you are intereted in finance market, check Real Vision Finance.
“Real Vision™ is where you can gain an understanding of the complex world of finance, business and the global economy with real in-depth analysis from real experts.”

For more go to
www.realvision.com

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Nice addition is that the show includes subtitles for French, German, Hindi, Korean, Portuguese (BR) and Spanish for the first four episodes. Below is the first episode, make a cup of tea and enjoy the evening.

Follow this link to see all episodes on YouTube.

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The post Robin Winsor at TEDxYYC – How we should prepare for the future with artificial intelligence appeared first on Mission AI.

Artificial intelligence is getting smarter by leaps and bounds — within this century, research suggests, a computer AI could be as “smart” as a human being. And then, says Nick Bostrom, it will overtake us: “Machine intelligence is the last invention that humanity will ever need to make.” Nick Bostrom is a Swedish philosopher at the University of Oxford known for his work on existential risk, the anthropic principle, human enhancement ethics, superintelligence risks, and the reversal test.

The post We need solution in advance! Machine super-intelligence is coming. TED talk by Nick Bostrom appeared first on Mission AI.

Panel: Is it rational to be optimistic about artificial intelligence?
Introduced and moderated by Steven Pinker, Harvard University
Peter J Bentley, University College London
Miles Brundage, University of Oxford
Olle Häggström, Chalmers University
Thomas Metzinger, Johannes Gutenberg University of Mainz

The post Excellent debate from EU Parliament on Artificial Intelligence appeared first on Mission AI.

Juergen Schmidhuber talk from TEDxLakeComo on artificial intelligence. Juergen Schmidhuber is Scientific Director of the Swiss AI Lab, IDSIA, DTI, SUPSI; Prof. of AI, Faculty of Informatics, USI, Lugano; Co-founder & Chief Scientist, NNAISENSE, Switzerland. Prof. Jürgen Schmidhuber has been called the father of modern Artificial Intelligence. His lab’s deep learning methods have revolutionized machine learning and are now available on 3 billion smartphones, and used billions of times per day. Enjoy.

The post Juergen Schmidhuber on how true Artificial Intelligence will change everything appeared first on Mission AI.