NVIDIA’s GTC 2024 highlighted the rapid advancements in AI and accelerated computing.
These developments hold immense potential to revolutionize various industries and our daily lives in 2025 and beyond.
Here are some potential trends for AI:
These are just a few examples, and the possibilities are constantly expanding.
The 2024 NVIDIA GTC was a whirlwind of exciting announcements and glimpses into the future of AI. However, I couldn’t help but notice a few things lurking beneath the surface of the shiny new tech.
Are we all losing our minds over AI?
This Life Capsule video from Nobody Sausage gave me a good laugh.
All kidding aside, here are some facets of GTC that deserve a closer examination:
NVIDIA’s new system boasts a 30x speedup for large language models. That is undoubtedly impressive. But is it all sunshine and rainbows? While the marketing materials paint a picture of revolutionary speed, the reality might be more nuanced.
The true performance gains will likely vary depending on the specific task and dataset. A 30x speedup for one task might translate to a more modest improvement for another. Additionally, the cost and availability of this technology remain unclear. Will it be accessible to smaller companies and research institutions, or reserved for tech giants?
Generative AI, the ability of AI to create entirely new things, holds immense potential. However, GTC’s focus on generative AI might have overshadowed another crucial aspect – explainability.
When it comes to fields like healthcare and weather prediction, where AI models can have life-altering consequences, it’s paramount to understand how these models arrive at their results. Without transparency, there’s a risk of bias and errors going unnoticed. We need to ensure that the power of generative AI isn’t overshadowed by a lack of understanding.
The ethical implications of powerful generative AI models deserve a more prominent place in the conversation. GTC might have missed an opportunity to delve deeper into this critical issue.
The potential for misuse – from creating deepfakes for malicious purposes to generating biased content – needs to be addressed. We need stricter regulations and a robust ethical framework to ensure that AI is developed and deployed responsibly.
AI is a powerful tool that must be used responsibly.
The advancements at GTC are exciting, but we must critically examine these innovations. We need to discuss the potential pitfalls along with the technological marvels.
How can we ensure that the future of AI is not only generative but also ethical, transparent, and fair to everyone?
As we look ahead, the impact of these technologies in shaping the future of AI is clear.
Stay informed and gain a competitive edge.
At Reactionpower, we use cutting-edge AI solutions to make you a leader in an AI-driven world. We created predictive analytics and advanced AI tools so you are not just reacting — you are shaping the future. This proactive approach to leadership ensures that you are always a step ahead, ready to capitalize on opportunities and shield your brand from potential pitfalls.
Contact me to discuss how we can propel you toward achieving your visionary goals.
The annual NVIDIA GTC conference has become a landmark event, showing the cutting edge of AI research and development.
This year, NVIDIA solidified its dominance in this transformative field, with a focus on powerful new technologies and a collaborative approach to shaping the future of AI.
NVIDIA offers a comprehensive suite of tools – from high-performance computing to generative AI and digital twins – to empower businesses across every industry. From drug discovery and personalized medicine to autonomous vehicles and weather forecasting, NVIDIA is paving the way for a future where AI revolutionizes how we work and live.
Here’s why partnering with NVIDIA is a strategic imperative:
Once a humble graphics card maker, NVIDIA has become a sorcerer of sorts, wielding the power of artificial intelligence.
From CUDA and NVIDIA GPU Cloud for high-performance computing to TensorRT, Omniverse for 3D simulation, and NeMo for building conversational AI applications, NVIDIA offers a complete toolkit for every stage of the AI development and deployment process.
A highlight of NVIDIA’s GTC 24 was the focus on Generative AI, a groundbreaking technology capable of creating new content such as images, text, or code. This innovation opens the door to entirely new software categories with previously unseen capabilities.
Gen AI is driven by AI-powered software creation and advancements in large language models. Training these models requires vast amounts of computing power, ushering in a new age of accelerated computing.
Accelerated computing with GPUs is crucial for various industries, including:
NVIDIA is paving the way for a future where Generative AI transforms industries by:
NVIDIA is pioneering the use of generative AI to decipher the “language of life” itself.
This process involves analyzing vast biological datasets to identify patterns and relationships within proteins, DNA, and other biomolecules. Understanding these underlying codes could revolutionize fields like medicine by enabling researchers to design new drugs, predict disease outbreaks, and even engineer custom therapies.
Moreover, the potential applications of this technology are not limited to healthcare alone; they also have significant implications for industries like agriculture and materials science.
Despite the complexity and rapid evolution of this field, NVIDIA’s innovative work in generative AI is set to uncover significant biological insights, promising to transform a broad spectrum of scientific domains.
The future of industrial automation is here.
NVIDIA is leading the charge by equipping robots with real-time decision-making capabilities. This translates to smarter, more adaptable machines – a trend supported by data.
The message is clear: intelligent automation is poised to transform industries. Leaders who leverage this trend can gain a significant competitive edge.
GTC highlighted the wide-ranging industry endorsement for NVIDIA’s breakthroughs.
Tech giants like Microsoft, Google, Amazon Web Services, SAP, HP, and Dell are aligning with NVIDIA’s latest innovations. Moreover, AI developer communities are rallying around NVIDIA’s products, promising enhanced support.
This collective endeavor positions NVIDIA to spearhead AI’s future trajectory.
Nvidia is at the forefront of accelerated computing with innovations like:
NVIDIA is collaborating with cloud providers and manufacturers to launch this new system for large language models and generative AI.
One of the challenges of generative AI is inference, which is the process of using a trained model to generate new data. This can be computationally expensive, especially for large models. Blackwell addresses this challenge by using new technologies like tensor cores and the MVLink switch to improve communication between GPUs.
Key features include:
NVIDIA is paving the way for a future of faster, more detailed weather forecasts.
Traditional weather prediction models take about 4-6 hours to generate forecasts.
But what if you could get the same level of accuracy in a fraction of the time?
The company made strides in AI-powered weather forecasting with models like FourCastNet. This innovative approach uses machine learning to analyze vast amounts of weather data, generating forecasts with significant speed and efficiency gains. This translates to quicker updates and more timely severe weather warnings.
But even the most accurate forecasts can miss the finer details.
NVIDIA’s new CorrDiff AI model tackles this challenge by taking existing coarse-resolution forecasts and refining them to provide high-resolution breakdowns. This is like zooming in on a weather map and getting crucial details like hyper-local wind gusts or thunderstorms. You could see exactly when that rain shower will hit your neighborhood!
Digital twins are digital replicas of physical objects or systems, allowing for simulations of real-world behavior.
NVIDIA’s Omniverse platform is a prime example, enabling the creation of high-fidelity digital twins for factories, data centers, and even autonomous vehicles. This technology goes beyond simple simulation; it integrates with real-time sensor data to create constantly evolving virtual representations.
Partnering with companies like Lockheed Martin, NVIDIA is pushing the boundaries of digital twins, driving innovation in areas like predictive maintenance, process optimization, and even training AI for robots in a safe, virtual environment.
NVIDIA’s Inference Microservices (NIM) is set to revolutionize Generative AI deployment.
NIM simplifies the deployment process, enabling businesses to utilize their unique data and embrace Retrieval Augmented Generation techniques more efficiently by offering a streamlined package of optimized inference engines, standardized APIs, and model support.
The conference also showcased the ongoing advancement of LLMs, which are growing in capability and complexity.
Building on the trends highlighted at NVIDIA GTC, here are some impressive abilities we can expect to see from LLMs:
As LLMs become more powerful and integrate with NVIDIA’s full-stack AI approach, we can expect even more groundbreaking advancements in the years to come.
I’m consistently exploring the AI trends shaping the future.
Contact me to discuss how we can propel you toward achieving your visionary goals.
As we celebrate Juneteenth today, I find myself filled with a deep appreciation for the sacrifices and struggles of those who came before us. This day is a poignant reminder of the history we carry and the future we are capable of creating.
It’s a celebration of liberation, resilience, and the enduring spirit of humanity.
This Juneteenth, we honor our past while envisioning a better, bolder, inclusive future.
I am incredibly grateful for the brave individuals who acted with intention, often in the face of immense resistance, to champion freedom, justice, and equality.
But today’s battles are no less challenging. Yes, the shackles may have evolved, and the enemies may have transformed, but the fight is as real as ever. Our enemies now may not be clad in iron, but they’re omnipresent – in AI, bias, misinformation, and lack of access to opportunities.
As I work with the world’s best, exploring the new frontiers in AI, I’m constantly reminded of its vast potential and inherent risks.
AI has the power to liberate, empower, and effect transformative change. AI also has the power to entrench biases and increase vast injustice exponentially.
AI is a new frontier where humanity is facing modern warfare.
Data is our most potent weapon. It’s a weapon we must wield wisely.
The key to tackling this bias lies in the earliest stages of AI development: pre-training data. This foundational layer of information forms the basis of AI’s learning and must reflect the diversity and inclusivity we aspire to in society. By scrutinizing our pre-training data, by deliberately debiasing it, we can shape our AI systems to be not just intelligent but also just and fair.
At Reactionpower, we are dedicated to exploring how pre-training can serve as the backbone for creating more inclusive, fair, and efficient systems. We can cut through the fog of uncertainty, ignorance, and prejudice.
We must create a world where people make more informed decisions.
We are committed to supporting leaders that align with our core values. We will unlock insights that can help fast-growing companies like yours remain not just competitive but also compassionate, conscientious, and inclusive.
We stand on the shoulders of giants who broke physical chains.
The battlefield is different, but the spirit remains the same. The heroes of the past fought for a vision of equality. Today, we must fight with the same valor to create a future where the systems that power decisions and information are just.
As we celebrate Juneteenth today, remember that we’re not just reflecting on a moment in history but a movement. A movement that continues to this day and requires our action and commitment. The AI revolution is taking hold, and we must take bold steps toward a future that mirrors our shared vision of justice, equality, and liberty for all.
To the visionaries, the value creators, and the vocal advocates of the past and present, we honor you. We recognize your sacrifices and value your contributions. And we pledge to carry forward your legacy and to do what we can to shape a future that’s as bright as the flames of your courage.
Here’s to a future where humanity wins again… and again… and again.
❤️???
AI systems have made remarkable advancements. However, they perpetuate linguistic bias that can result in the total erosion of languages. This, in turn, can decimate cultural diversity, lead to the loss of identity, and further perpetuate societal inequalities.
That’s why I’ve been diving into this complex issue and exploring how we can unlock growth opportunities by building AI systems that work for everyone.
Gender bias is prevalent in language translation systems like Google Translate and Microsoft Translator, perpetuating stereotypes. For example, professions like doctors or engineers are translated as male by default. Even when gender is unknown, Microsoft Translator defaults “o” in Turkish to “he.”
Similarly, Google Translate often uses masculine form, even when the context suggests that a woman is being referred to. For instance, if you input “My doctor is amazing” for translation into Spanish, Google Translate will automatically use the masculine form “Mi doctor es increíble,” even if you are referring to a female doctor. This gender bias can perpetuate societal inequalities and limit equitable access to opportunities for women, particularly in professions where gender stereotypes are already prevalent.
To address this type of linguistic bias, it is important to ensure that there’s diverse representation on the teams developing these systems. The training data used to develop translation models must include copious amounts of text that represent both masculine and feminine phrasing. Additionally, these systems should include options for gender-neutral language.
One of my favorite things is listening to my cousin speak in colloquial Kikuyu. He’ll have me rolling, laughing until tears are streaming down my face. There are deep cultural nuances that Google Translate doesn’t quite capture.
Machine translation systems are biased toward certain languages and language varieties. For instance, a system trained primarily in formal written English will struggle to accurately translate informal languages. It’s like a high school clique where only the “popular” kids got all the attention. That’s so not cool, machine translation. Broaden your horizons. Include training data that represents diverse languages, dialects, and registers. Seriously, it’s the right thing to do.
Speech recognition technology isn’t doing any better. Most have been found to have higher error rates for individuals with non-standard accents or dialects. It’s like they’re saying, “Sorry, we only speak standard.”
This is because the training data used to develop the technology is biased towards standard accents, leading to errors and inaccuracies for individuals who sound even slightly different or speak other dialects. To address this bias, it is important to include a diverse range of accents and dialects in the training data. Additionally, systems should be evaluated on their ability to recognize a variety of accents and dialects.
Virtual assistants such as Siri or Alexa may struggle to understand or respond to certain accents or dialects, particularly those that are not well-represented in the training data. This can result in errors and misunderstandings, leading to negative user experiences. To address this bias, it is essential to include a diverse range of accents and dialects in the training data. Additionally, the system should be evaluated on its ability to understand and respond to a variety of accents and dialects.
Finally, the erosion of linguistic and cultural diversity is a critical concern that must be addressed in the development of generative AI systems. If a language is underrepresented in the training data used to develop an AI system, the model will struggle to accurately understand or generate content in that language. Consequently, communities that speak that language will experience erosion of linguistic and cultural diversity. This leads to further underrepresentation and marginalization. To promote linguistic and cultural diversity, it is essential to include a diverse range of languages and cultures in the training data.
Addressing linguistic bias in generative AI systems requires a concerted effort to promote diversity and inclusivity in the training data. We also need to continually assess the algorithms’ designs, data processing techniques, and how humans interact with AI systems.
We must include a wide range of languages, dialects, and cultural nuances to ensure that these systems accurately represent and serve all users, regardless of their linguistic background. Ultimately, we must create AI systems that are technologically advanced, socially responsible, and equitable.
The world can feel like a wild rollercoaster ride with twists and turns at every corner. From digital transformation to company culture, our dynamic world can make your head spin.
But fear not, my friend, because even amidst the uncertainty, clear patterns emerge – you just need to know where to look.
Here are 5 actionable insights to stay ahead of current marketing trends.
One clear pattern that has emerged in recent years is the importance of building a powerful online presence.
People are turning to the internet to research products and services. If you don’t have a strong online presence, you’re missing out on a lot of opportunities.
But building an online presence is about more than just having a website and some social media profiles. It’s about creating a consistent and engaging brand across all channels. This means investing in high-quality content, using social media effectively, and leveraging online marketing tools to build reach the right audience with the right message, at the right time.
Communication is key in our ever-changing business landscape. We must prioritize clear communication both internally and externally. Establish open channels of communication to share updates and ideas. When we take time to connect and keep stakeholders informed we build trust and opportunities for collaboration. Also remember, effective communication isn’t just about talking – it’s also about listening. Actively solicit feedback and address concerns as they arise to strengthen relationships.
Use data to inform your decisions and strategies. One way to do this is by leveraging data to gain insights into your stakeholder’s behavior and preferences. This can include analyzing website analytics, social media engagement, and even email engagement rates. By understanding what your stakeholders are interested in, you can create personalized experiences that resonate and help build stronger relationships with them.
Encourage your team to be forward-thinking. Continuously explore new ideas and technologies that could help your organization meet your customer’s needs and stay ahead of the competition. Keep up with the latest digital transformation trends. Invest in tools and processes that improve your efficiency and effectiveness.
Research has shown that diverse teams are more innovative and perform better. Make sure your organization is actively working to create a welcoming and inclusive environment for all employees, regardless of their background or identity. Invest in your employees. Create a positive company culture that fosters collaboration, growth, and development. This can help improve employee engagement, reduce turnover, and boost overall performance.
Of course, it’s important to remember that these patterns are constantly evolving. What works well today may not be as effective tomorrow. The business landscape is constantly changing. We must be willing to pivot in order to stay ahead of the curve. Embrace digital transformation. Watch trends, be flexible, encourage your team to be nimble, and adapt your strategies as needed.
If you’re still clinging to old strategies, it’s time to let go and embrace the dynamic marketplace!
As we commemorate Black History this month, my mind swirls with thoughts of the remarkable figures who, with their vision, values, voices, and valorous actions, have shaped the world as we know it. Their powerful alliances and heart-wrenching sacrifices paved the way for the liberty and progress we enjoy today. They proved that shackles—both literal and metaphorical—can indeed be shattered, freeing us from the fears, limitations, and oppressions that once held us captive.
On this momentous month, I want to pause and celebrate the victories of the past. But, more importantly, I want to reflect on how we can apply the lessons learned from those courageous enough to question the status quo, and use their inspiration to shape the future.
In our modern world, the battleground has shifted. Our team at Reactionpower is committed to minimizing unjust bias in AI and stand at the forefront of this new war. It’s a battle fought not with weapons of steel but with bytes and algorithms. It’s a struggle against the perpetuation of harmful biases, all hidden within the folds of machine learning models and datasets.
I believe in the transformative power of AI. However, I also understand its potential pitfalls. As we train our AI models, it’s vital to remember that they learn from us, from our history and our present. They absorb not just our knowledge but also our biases, replicating them at an unprecedented scale.
This is why our work is so crucial. By creating pre-training data that consciously counters unjust bias, we are actively breaking the shackles of prejudice that could potentially taint AI technology. We’re ensuring that the AI of the future reflects the best of us, not the worst.
But we can’t do it alone.
Just as those who came before us relied on powerful alliances to champion their cause, we need your support. Top companies are major influencers in the technology landscape. The AI systems you develop, use, or sponsor have a far-reaching impact. Your commitment to reducing unjust bias in AI can make a significant difference in this battle.
So, this month, I ask you to honor the past, not just by remembering the trials and triumphs of those who struggled for freedom and equality, but by actively working to ensure these values are reflected in our technology.
As leaders, you have the power to influence the course of AI development, steering it toward a future that values diversity, inclusivity, and fairness. And remember, in this fight, every byte counts.
Let’s learn from our past to build a better future—a future where the shackles of bias have no place and where technology empowers us all, regardless of our race, gender, or background.
Together, we can make sure that humanity wins again… and again… and again.
Here’s to a Black History Month that honors our past and uses those lessons to build a better future.
Companies are accelerating digital transformation for long-term business growth and profitability. And with good reason. The use of digital products and services is still at an all-time high.
Here are 3 incredibly useful tips for successful digital transformation.
Put people first The order to set digital transformation in motion is people > processes > technology. You need the right people to be able to implement the processes and successfully drive #tech transformation. You’ll also need to define and articulate your digital business ambition and strategy to ensure broad organizational alignment. Understand, listen, and be #thoughtful about your colleagues’ questions and concerns. Take time to truly understand people’s priorities including their daily challenges and cultural impulses.
Advancing trust with your customers and transformation projects should be tightly coupled. Business and technology #leaders must ensure that the organization’s technology instills confidence. When there is trust in customer interactions business outcomes are improved.
How can you identify, create and build out new business and revenue models that provide your enterprise with strategic advantages? Evaluate market disruptions and technology innovations to ensure your knowledge remains current. Seek out strategic partnerships that align with your transformation vision, and increase the speed and quality of your initiatives. Check your design against emerging customer needs and ensure that they are at the center of your efforts. In a hyper-competitive business landscape that is continuously evolving curiosity and openness to change help tremendously.
In conclusion, companies today must continuously reinvent themselves to thrive in the modern business world.
With ever-evolving markets and mind-boggling competition, waiting to initiate digital transformation projects could be a business death knell. Companies need an innovative mindset to survive as digital technologies are rapidly transforming traditional ways of working. Successful digital transformation means enhanced customer engagement and better business outcomes.
Digital transformation is an approach that uses technology to drive innovation and create new customer experiences.
Here are 6 expert tips to restore momentum if your digital transformation initiative is lagging.
A key component of digital transformation is developing a customer-centric strategy that focuses on delivering personalized customer experiences across all channels. Get customer feedback to make the user experience the best it can be. Additionally, consider leveraging AI-powered chatbots to provide customers with 24/7 support so you can quickly answer questions or address any issues they may have while interacting with your brand online or offline.
Identify your key stakeholders and forge strong partnerships by bringing them on your journey. Invite them to provide input and share their perspectives. This not only gives them some skin in the game but helps them drive understanding and adoption of the changes throughout their teams.
Clarify and communicate a compelling vision. Sharing the “why” behind your digital transformation helps your stakeholders understand how it ties back to their business objectives. Consistently reiterating the strategic imperative will keep your team focused on the big picture and give them less opportunity to see changes as random.
Also don’t forget to align leaders. You need to look at your digital transformation as a marathon, not a sprint. Therefore it’s important to schedule regular check-ins to inspire action and commitment. From the CEO and board to the ‘magic middle’ you need to inform and equip leaders to support your outcomes and agility.
The second step in the digital transformation process is investing in technology and infrastructure. By investing in the right technology and infrastructure, businesses can increase efficiency and productivity while reducing operating costs. Additionally, businesses should consider investing in artificial intelligence (AI) technologies to automate manual processes and gain insights from data collected from customers.
As businesses become more reliant on technology for their operations, it is important to focus on data security and privacy measures. as Keep in mind compliance regulations such as GDPR or HIPAA. A privacy compliant organization provides solid administrative, technical, and physical security safeguards to ensure confidentiality, integrity, and availability of data. This includes the effective ability to detect and prevent unauthorized or inappropriate access to data. Investing in cybersecurity solutions such as malware protection software or two-factor authentication can help protect sensitive customer data from cyberattacks while also complying with international regulations related to data privacy and security policies.
Upskill talent, unite teams, and keep your organization on top of rapid market changes. Identify and develop the needed tech skills, as well as the soft skills that will foster stronger human connections. Create a culture of constant experimentation and measurement.
Data and insights are crucial to the sustained success. Ensure the information you collect drives smarter decision making to improve customer experiences and business outcomes. Businesses need data-driven insights to better understand their customers’ needs and preferences so they can develop targeted marketing campaigns that resonate with their target audience. Actionable insights will help you develop capabilities to proactively address system and service issues that could create barriers to adoption.
In conclusion, digital transformation is an essential part of staying competitive today’s rapidly changing market environment—especially when it comes to CMOs looking for ways to outsmart their competitors. The tips outlined above can help CMOs take advantage of digital opportunities while also staying ahead of their competition. With these tips in mind, CMOs can confidently create a roadmap for success leveraging the power of digital transformation within their business!
Have you seen The Social Dilemma? I just did. It’s a Netflix documentary that uncovers how social platforms manipulate our attention purely to maximize their own profit. Of course, as a digital marketer, I’ve known this for a while. But when it’s told from that perspective, it makes you think ?
In the wake of the pandemic and the racial reckoning that’s followed George Floyd’s murder, trust and relationships have been top of mind.
Trust in social media platforms eroded significantly, particularly over the last year.
We’ve had cultural landmark moments and heard concerns about how social platforms are scaling harm with AI and Machine learning algorithms that don’t take into account diverse communities. We’ve had major boycotts of Facebook ads by some pretty large multinational brands, based on how the social network moderates content. The #DeleteFacebook Movement also continues to reappear from time to time in the wake of the latest data privacy scandal. And the list just goes on.
Many people ask if the backlash against social media has real weight behind it.
I genuinely don’t think social media is in the long-term decline.
Social networks revealed our global humanity when they first launched a little over a decade ago. And they still hold us by those relationship tentacles today. We are social creatures and when our physical connections were unexpectedly curtailed earlier this year, we turned to each other online. Even as things slowly turn to whatever the new normal will be, we’ll still be seeking each other out whether we’re close by or worlds apart.
We love to share with our friends and family. We want to connect, build community and create tribes around our passions and interests. We want to express ourselves.
A generation has grown up in this space. While people are concerned about danger on the digital front, it’s hard to go back. But as you use these platforms that have become so ubiquitous in our lives, it’s important to pause and ask yourself, who has your data? Every time we quickly accept the terms of service, we don’t realize just how much we’re giving away.
That’s why I go back to trust. I think if social platforms (and brands!) can build a relationship of trust with us we are more open to having our data being used, particularly if we believe it’s useful for us.
With more transparency and the ability to see how our data is tokenized, we can shape what we are comfortable with. We’ll need to have basic qualifications about who we’re sharing our data with. Ultimately that calls all companies to higher ethics and principles.
A few years ago I asked Reed Hastings, Netflix’s CEO, if the company would adopt game streaming. His answer was very clear: Netflix was in the movie business, not the gaming business. While Netflix has decisively stuck to a core focus, we’ve seen a huge surge in investment from big technology companies in game streaming.
Several major tech companies, from Google and Microsoft to Sony, Amazon and Verizon already either have or are working on game streaming services. Google Stadia is slated to launch in November.
Ultimately, it’s a numbers game.
There are 2 billion people who play video games on the planet today. Many of those people don’t own a television or a PC. For most, the phone is their compute device. Today, far more people are able to watch shows and movies thanks to smartphones and media digitization.
The companies that win the race to reach the masses will be those who can leverage technology effectively to reach and engage a customer wherever they are, on the devices that they have. The best way to do that is by lowering the barrier to entry — When you eliminate stuff like the need to own a TV and game console or the requirement of a stable internet connectivity, you open up a whole new market.
While we’ve made similar shifts before e.g from DVD — physical media — to streaming digital entertainment, streaming games is a lot harder than TV. Games can require serious processing power. Digitization alone only opens the door so much. Making high-end, processor-intensive games available through streaming services kicks open the door.
The door is cracking. For example, Netflix has introduced a level of interaction that’s completely different compared to a regular movie or TV show. With movies like Puss in Book: Trapped in an Epic Tale players make various decisions throughout the runtime to alter how the story progresses. While that sort of gameplay is far from something along the lines of Fortnite or God of War, it’s a fascinating approach that may open up a whole new market of “gaming” viewers.