#CTO service

[pritivora26]

In the fast-paced and ever-evolving technology landscape, Chief Technology Officers are continually challenged to keep their organizations at the forefront of innovation while managing resources efficiently. This does rely on one thing: good communication. External developers need to communicate effectively with your existing team and quickly understand their requirements. Read more.

[veercto]

"Your Startup Software Tech Has Unicorn Potential ! So Why Are The Right Players And Investors Ignoring You?"

Check the article I wrote recently:

[technologysolution]

Virtual CTO Services: Strategic Leadership for IT Growth

Elevate your business with our Virtual CTO services, expert technology leadership without the need for a full-time executive. Our team offers strategic IT direction, helping to align technology with business goals, streamline operations, and drive innovation. From infrastructure management to digital transformation, our Virtual CTO services ensure your business stays competitive and agile in an evolving technological landscape.

Read more:-

[jcmarchi]

Yandong Liu, Co-Founder & CTO at Connectly – Interview Series

New Post has been published on https://thedigitalinsider.com/yandong-liu-co-founder-cto-at-connectly-interview-series/

Yandong Liu, Co-Founder & CTO at Connectly – Interview Series

Yandong Liu is the Co-founder and CTO at Connectly.ai. He previously worked at Strava as a CTO. Yandong Liu attended Carnegie Mellon University.

Founded in 2021, Connectly is the leader in conversational artificial intelligence (AI). Using proprietary AI models, Connectly’s platform automates how businesses communicate with their customers and sell their products across any messaging platform. Connectly enables the entire customer journey – from sales and marketing to customer experience and support – to be conducted within the customer’s preferred messaging platform.

Can you share the genesis story behind Connectly?

Connectly was born from the vision of becoming the leader in conversational AI. My co-founder, Stefanos, and I met through a mutual friend in the founder community and bonded over a shared passion for the future of messaging. With my background leading technology teams at Strava and Uber and Stefanos’s experience overseeing Facebook Messenger, we set out to create the AI-powered infrastructure of the future, helping businesses make the most of their customer messages in an increasingly complex ecosystem.

What exactly are Small Language Models (SLMs), and how do they differ from Large Language Models (LLMs)?

SLMs are AI models designed to understand and generate human language but with fewer parameters and computational requirements compared to Large Language Models. In the context of AI marketing solutions for messaging platforms like WhatsApp and Instagram, SLMs provide faster response times and can be easily deployed on a variety of devices, making them ideal for real-time customer interactions. Their smaller size allows for efficient performance without compromising the quality of responses.

Can you discuss how SLMs reduce the likelihood of hallucinations and improve the reliability of AI responses?

SLMs reduce the likelihood of hallucinations—instances where AI generates incorrect or nonsensical information—by focusing on a smaller, more manageable set of parameters. For AI-messaging based marketing solutions, this focused approach ensures more predictable and reliable responses, enhancing customer trust and engagement. The reduced complexity of SLMs minimizes the chances of generating off-topic or erroneous content, thereby improving the overall reliability of AI interactions.

Can you explain why SLMs are particularly beneficial for retailers, especially in the context of chatbots?

Due to the large amounts of data LLMs are fed with, they are often slow. However, messaging and conversational commerce require a faster response time in order to better and more accurately serve customers. For retailers, SLMs are more practical and beneficial due to the level of detail they can provide in the retail industry. Additionally, SLMs are often cheaper because they are more agile, meaning every retail company, from a small startup to a big online retailer, can utilize them.

How do SLMs offer more personalized experiences for customers compared to LLMs?

SLMs offer more personalized experiences for customers by being easier to fine-tune for specific tasks and domains. Their smaller size allows for quicker and more efficient customization, enabling businesses to tailor the models to the unique needs and preferences of their customers. This focused customization results in more relevant and personalized interactions, enhancing the customer experience.

How does Connectly integrate SLMs into its platform to enhance e-commerce capabilities?

We integrate SLMs into our platform to enhance e-commerce capabilities by leveraging their efficiency and adaptability. These models enable quick and accurate customer interactions on messaging platforms like WhatsApp and Instagram, providing personalized product recommendations and instant customer support. The lightweight nature of SLMs ensures that responses are fast and relevant, improving the overall customer experience and driving engagement.

What are some specific examples of how retailers have successfully implemented SLMs in their operations?

Our clients are having great success with SLMs. A fashion retailer is using SLMs to provide personalized styling advice through WhatsApp, recommending outfits based on the customer’s previous purchases and preferences. Similarly, an electronics retailer deployed SLMs on Instagram to answer customer queries about product features and availability in real time, enhancing the shopping experience and reducing the load on customer service teams.

Why should retailers consider transitioning from LLMs to SLMs for their specific business applications?

Retailers should consider transitioning from LLMs to SLMs for their specific business applications due to the increased efficiency and cost-effectiveness of SLMs. SLMs are faster, require less computational power, and can be easily fine-tuned for specific tasks, making them ideal for real-time customer interactions on messaging platforms like WhatsApp and Instagram. This transition can lead to more responsive and personalized customer service while reducing operational costs.

What future advancements in SLM technology are you most excited about?

I’m most excited about advancements in SLM technology that will further enhance their efficiency and accuracy. For instance, improvements in transfer learning and fine-tuning techniques will allow SLMs to become even more adept at specific tasks with minimal data. Additionally, the integration of SLMs with multimodal capabilities—combining text, voice, and image data—will enable richer and more interactive customer experiences on platforms like WhatsApp and Instagram. These advancements will make SLMs even more valuable for retailers looking to provide personalized and engaging customer interactions.

How do you see the adoption of SLMs evolving in the next few years within the retail industry?

 I see the adoption of SLMs in the retail industry growing significantly. As retailers continue to seek more efficient and cost-effective ways to engage with customers, the speed and adaptability of SLMs will become increasingly valuable. SLMs will be integrated more widely into customer service platforms, marketing campaigns, and personalized shopping experiences on messaging apps like WhatsApp and Instagram, even on TikTok. This shift will help retailers provide quicker, more personalized interactions, enhancing customer satisfaction and loyalty.

Thank you for the great interview, readers who wish to learn more should visit Connectly. 

[ateamsoftsolutions01]

CTO App Trends to Watch Out for in 2024 and Beyond

As we navigate through 2024, the role of Chief Technology Officers (CTOs) continues to evolve, driven by rapid technological advancements. CTO apps are at the forefront of this evolution, offering new features and capabilities to meet the changing demands of the tech landscape. Here are the key CTO app trends to watch out for in 2024 and beyond.

1. Artificial Intelligence and Machine Learning

AI and machine learning are transforming CTO apps, providing advanced analytics and automation capabilities. These technologies enable predictive maintenance, anomaly detection, and intelligent decision-making, allowing CTOs to stay ahead of potential issues and optimize operations.

2. Enhanced Cybersecurity Measures

With cyber threats becoming more sophisticated, enhanced cybersecurity measures are essential. CTO apps are increasingly incorporating advanced security protocols, such as zero-trust architecture, real-time threat detection, and AI-driven security analytics, to protect sensitive data and maintain compliance.

3. Integration with IoT Devices

The Internet of Things (IoT) is expanding rapidly, and CTO apps are integrating with IoT devices to provide real-time monitoring and control. This trend enables CTOs to manage and analyze data from connected devices, improving operational efficiency and facilitating smart decision-making.

4. Cloud-Native Solutions

Cloud-native solutions are becoming a standard in CTO apps, offering scalability, flexibility, and cost-efficiency. These apps leverage cloud platforms to provide seamless integration, real-time collaboration, and access to advanced computing resources, making it easier for CTOs to manage complex tech environments.

5. Augmented Reality (AR) and Virtual Reality (VR) Integration

AR and VR are no longer just for gaming. CTO apps are beginning to integrate these technologies to provide immersive training, remote support, and enhanced visualization for complex projects. This trend enhances team collaboration and problem-solving capabilities.

6. Low-Code and No-Code Development

Low-code and no-code development platforms are democratizing app development, enabling CTOs and their teams to build and deploy applications quickly without extensive coding knowledge. This trend accelerates innovation and reduces time-to-market for new solutions.

7. Sustainability and Green IT Initiatives

As sustainability becomes a priority, CTO apps are incorporating features to monitor and reduce environmental impact. This includes energy-efficient operations, resource optimization, and tracking carbon footprints, helping organizations align with green IT initiatives.

8. Personalization and User Experience

User experience is critical for the success of any app. CTO apps are increasingly focusing on personalization, offering customizable dashboards, intuitive interfaces, and user-friendly features to enhance productivity and satisfaction.

In conclusion, these trends are shaping the future of CTO apps, driving innovation and efficiency. By staying abreast of these developments, CTOs can leverage the latest technologies to lead their organizations successfully into the future. Embrace these trends to stay competitive and achieve strategic goals in 2024 and beyond.

[sffgtrhyjhmnzdt]

Leveraging Technical Advisory Services for IT Strategy and Digital Transformation

In today's rapidly evolving technological landscape, businesses face the constant challenge of staying ahead of the curve. The convergence of IT strategy, digital transformation, cloud solutions, and cybersecurity has become imperative for organizations striving to remain competitive and secure in the digital age. The Pixid AI paradigm shift necessitates a strategic approach, where technical advisory services play a pivotal role in guiding enterprises through their digital journey.

IT Strategy:

Crafting robust IT advisory services in Australia is the cornerstone of any successful digital transformation initiative. Technical advisory services offer invaluable insights into aligning IT objectives with overarching business goals. By conducting comprehensive assessments of existing IT infrastructures, these services help identify gaps, redundancies, and areas for optimization. Moreover, they provide strategic recommendations tailored to the organization's unique needs, ensuring that IT investments deliver maximum value and support long-term growth objectives.

Digital Transformation:

Embracing digital transformation is no longer a choice but a necessity for businesses seeking to thrive in the digital economy. Technical advisory services serve as trusted partners in this transformative journey, digital transformation consulting services in New Zealand offering expertise in leveraging emerging technologies to drive innovation, enhance operational efficiency, and deliver superior customer experiences. From legacy system modernization to the adoption of cutting-edge digital solutions, these services provide end-to-end support, ensuring a seamless transition to the digital-first mindset.

Cloud Solutions:

The widespread adoption of cloud computing has revolutionized the way businesses operate, offering unprecedented scalability, flexibility, and cost-efficiency. However, navigating the complex landscape of cloud service providers in New Zealand requires careful planning and expertise. Technical advisory services assist organizations in formulating cloud strategies tailored to their specific needs, whether it involves public, private, or hybrid cloud environments. By evaluating factors such as workload requirements, security considerations, and regulatory compliance, these services enable enterprises to harness the full potential of cloud technologies while mitigating risks.

Cybersecurity:

As digital ecosystems expand, so do the threats posed by cyberattacks and data breaches. Protecting sensitive information and safeguarding digital assets are paramount concerns for businesses across all industries. Technical advisory services offer proactive cybersecurity solutions designed to identify vulnerabilities, mitigate risks, and fortify defenses against evolving threats. Cybersecurity consulting services in Australia provide ongoing monitoring and incident response capabilities, these services help organizations stay one step ahead in the cybersecurity arms race.

The convergence of IT strategy, digital transformation, cloud solutions, and cybersecurity underscores the need for strategic guidance and expertise. Technical advisory services play a crucial role in helping organizations navigate this complex landscape, empowering them to embrace digital innovation while mitigating risks and maximizing opportunities for growth. By partnering with experienced advisors, businesses can chart a course towards a digitally-driven future with confidence and resilience.

[hari-100]

Empowering Businesses With Our Technical Advisory Services

At PIXID, we are dedicated to helping businesses in Australia and New Zealand navigate the ever-evolving world of technology with confidence. Our technical advisory services cover a wide range of areas, including digital transformation services in  Australia, interim CTO services, technical due diligence services, cloud service providers, cloud consulting services, cybersecurity solutions, IT advisory services, and IT strategy consulting in Australia.

What We Do

PIXID serves as a trusted partner for businesses seeking to harness the full potential of technology. Our technical advisory services in Australia cover:

Digital Transformation

We assist businesses in embracing digital transformation by identifying opportunities to optimize processes, enhance customer experiences, and drive innovation through technology adoption.

Interim CTO Services

Our interim Chief Technology Officer (CTO) services provide organizations with strategic leadership and technical expertise during transitional phases or when specialized guidance is required.

Technical Due Diligence

We conduct thorough technical due diligence assessments to help organizations make informed decisions during mergers, acquisitions, or investment opportunities.

Cloud Computing

We help businesses leverage the power of cloud computing by providing guidance on cloud service providers Australia, migration strategies, and optimizing cloud infrastructure.

Cybersecurity Solutions

PIXID offers tailored cybersecurity solutions in Australia to protect businesses from evolving cyber threats, ensuring data security and compliance with industry standards.

Tailored Solutions : We understand that every business is unique. Our approach involves listening to our clients' specific needs and challenges to deliver personalized recommendations and solutions.

With a team of seasoned professionals, including experienced CTOs and technology consultants, we bring a wealth of knowledge and industry insights to every engagement.

Client-Centric Approach Our focus is on building long-term partnerships based on trust and mutual success. We prioritize understanding our clients' goals and objectives to deliver impactful results.

Holistic Perspective We believe that technology advisory services in australia should align with broader business objectives. Our advisory services emphasize the strategic integration of technology consulting services in australiato drive growth and innovation.

Get in Touch

Ready to explore how PIXID can empower your business through our technical advisory services in Australia? Contact us today to schedule a consultation or learn more about our offerings.

For more information please contact.www.pixid.ai

[checkmateq1]

Are you looking for senior technology leader to transform your strategy and product engineering domain. Visit us to learn more about Virtual CTO services.

[dextralabs12]

Introducing our cutting-edge "CTO Office" solution, designed to empower organizations to make quantifiable decisions, streamline processes, and elevate customer satisfaction.

[fractionalctosvc]

Fractional CTO and MVP Developer

MVP Engineer is a firm specializing in engineering consulting, outsourcing, and management. We help businesses focus on core tasks like building their MVP, leveraging our principal engineer's decade-long experience at Google. Visit: https://mvpengineer.com/

[realityfragments]

A Telecommunications Company Without A CTO?

I’d moved on to other things after writing about the TSTT data breach, and while it seemed that most of the breaches in Trinidad and Tobago that we do know about could have been because organizations didn’t keep their content management systems up to date, there was something very weird to me about the whole TSTT debacle aside from the response(s) they had. When the CEO, Lisa Agard, was removed,…

[thetechravens]

Challenges faced by startups

1.  Inadequate Market Fit:

When a startup fails to identify or understand the need and desire of its target market, is said to have a lack of market fit. Due to this, the startup may be providing goods or services with low demand in market, which would result in weak sales and low profitability. This can happen for a variety of reasons, including assuming that the target market exists without conducting adequate research, failing to fully comprehend the needs and behaviours of the target market, or developing a product or service that is too specific. Inadequate market fit can make it challenging for startups in fund raising, which can ultimately result in their demise. In order to prevent this, startups should carry out in-depth market research and validation before launching their product, good or service, and frequently collect feedback from their target market to ensure they are meeting their needs.

2. Insufficient Funding:

Startups usually need large investments in order to launch their product or service, grow their business, and more. Lack of funding could make it challenging for them to grow their product, attract customers, and pay operating costs—all of which are essential for the success of the business.

3. Poor Team Dynamic:

Startup’s failure can be attributed to poor team dynamics. A dysfunctional team can lead to low morale, reduced output, all of which can have a negative effect on the business’s overall success. Additionally, a lack of trust, disagreements, and communication breakdowns can make it difficult to make decisions and result in missed opportunities.

Since the effectiveness of the team members frequently determines the success of the company, it is critical for startups to place a high priority on developing a strong and cohesive team. Startups can create a positive and effective team dynamic that supports the success of the business by addressing and resolving conflicts, encouraging open communication, and investing in team development.

4. Competitive World:

Lack of Differentiation: If a startup cannot set itself apart from its rivals, it may find it difficult to draw in clients, hold onto market share, and make money.

Pricing Pressures: When competitors lower their prices, it can be challenging for startups to remain profitable and maintain their operations.

Lack of Ability to Scale: As competition increases, startups may find it difficult to scale their infrastructure and operations to keep up, which can result in inefficiencies and lower margins.

Marketing Difficulties: It can be difficult for startups to establish themselves in the market due to rivals with more substantial marketing budgets and well-known brands.

Regulatory Obstacles: In highly competitive markets, startups may encounter significant regulatory obstacles that make it difficult for them to enter the market.

CLICK HERE FOR MORE INFORMATION

[veercto]

A Non-Traditional Founder’s Perfect Technology Partner

Contributor: Kelly Keurzoneff, Founder and CEO, givelist.com

There have been several breakthroughs lately for non-traditional founders, like low & no-code platforms, equity crowdfunding, more diverse funds and accelerators, and the emergence of more fractional CFOs & CTOs and other important roles that early-stage startups need but often can’t afford yet as full-time employees. The combination of these developments or trends will be an absolute game-changer for those looking to build outside what has been the typical (and narrow) silicon valley model.

As the state of work and workplace evolves, I think we’ll see this fractional nature more. There’s a great benefit to roles that are more flexible or task/project-based, rather than having someone full-time when early stages don’t yet require that level of time commitment or support that type of spend.

As a solo female founder, and someone who is only semi-technical, having an experienced and trustworthy guide who can oversee what I’m doing with the product is of critical importance while building a software-based company.

My task is to build lean, iterate quickly, solve problems efficiently and not have tech debt as I move into the next phases of the company. It’s also to build something that users will love and easily understand, and that is secure and compliant. There’s so much to consider, but I’m working on several aspects of the business concurrently, so I don’t want things to be missed. It can get overwhelming quickly.

 felt so fortunate to come across Veer Lalan, a Fractional CTO, and working with him has been a huge relief. Veer is reliable, seasoned, supportive, knowledgeable, and just wonderful to work with all around. He is the tech partner you’ve been looking for to help you get past places you might be stuck, tell you what solutions are options, or give a bigger picture of what needs to be considered ahead of time.

I’m so grateful for the help I’ve gotten from Veer, it allows me to feel more at ease and confident in an area where I had concerns and often struggled to know how to navigate. I wish that for other non- or semi-technical founders, or anyone actually, because it’s always good to have someone take a second look, provide a different perspective or suggest new options. I so appreciated the sense of reassurance and alleviation of stress that came with finding help for the product as we build and test it. Just hoping to pass on a resource worth looking into; a fractional CTO like Veer can make a world of difference.

About:

Veemagine Business Solutions, veemagine.com

Veer Lalan CTO, veerlalancto.com

[jcmarchi]

Vivek Desai, Chief Technology Officer, North America at RLDatix – Interview Series

New Post has been published on https://thedigitalinsider.com/vivek-desai-chief-technology-officer-north-america-at-rldatix-interview-series/

Vivek Desai, Chief Technology Officer, North America at RLDatix – Interview Series

Vivek Desai is the Chief Technology Officer of North America at RLDatix, a connected healthcare operations software and services company. RLDatix is on a mission to change healthcare. They help organizations drive safer, more efficient care by providing governance, risk and compliance tools that drive overall improvement and safety.

What initially attracted you to computer science and cybersecurity?

I was drawn to the complexities of what computer science and cybersecurity are trying to solve – there is always an emerging challenge to explore. A great example of this is when the cloud first started gaining traction. It held great promise, but also raised some questions around workload security. It was very clear early on that traditional methods were a stopgap, and that organizations across the board would need to develop new processes to effectively secure workloads in the cloud. Navigating these new methods was a particularly exciting journey for me and a lot of others working in this field. It’s a dynamic and evolving industry, so each day brings something new and exciting.

Could you share some of the current responsibilities that you have as CTO of RLDatix?  

Currently, I’m focused on leading our data strategy and finding ways to create synergies between our products and the data they hold, to better understand trends. Many of our products house similar types of data, so my job is to find ways to break those silos down and make it easier for our customers, both hospitals and health systems, to access the data. With this, I’m also working on our global artificial intelligence (AI) strategy to inform this data access and utilization across the ecosystem.

Staying current on emerging trends in various industries is another crucial aspect of my role, to ensure we are heading in the right strategic direction. I’m currently keeping a close eye on large language models (LLMs). As a company, we are working to find ways to integrate LLMs into our technology, to empower and enhance humans, specifically healthcare providers, reduce their cognitive load and enable them to focus on taking care of patients.

In your LinkedIn blog post titled “A Reflection on My 1st Year as a CTO,” you wrote, “CTOs don’t work alone. They’re part of a team.” Could you elaborate on some of the challenges you’ve faced and how you’ve tackled delegation and teamwork on projects that are inherently technically challenging?

The role of a CTO has fundamentally changed over the last decade. Gone are the days of working in a server room. Now, the job is much more collaborative. Together, across business units, we align on organizational priorities and turn those aspirations into technical requirements that drive us forward. Hospitals and health systems currently navigate so many daily challenges, from workforce management to financial constraints, and the adoption of new technology may not always be a top priority. Our biggest goal is to showcase how technology can help mitigate these challenges, rather than add to them, and the overall value it brings to their business, employees and patients at large. This effort cannot be done alone or even within my team, so the collaboration spans across multidisciplinary units to develop a cohesive strategy that will showcase that value, whether that stems from giving customers access to unlocked data insights or activating processes they are currently unable to perform.

What is the role of artificial intelligence in the future of connected healthcare operations?

As integrated data becomes more available with AI, it can be utilized to connect disparate systems and improve safety and accuracy across the continuum of care. This concept of connected healthcare operations is a category we’re focused on at RLDatix as it unlocks actionable data and insights for healthcare decision makers – and AI is integral to making that a reality.

A non-negotiable aspect of this integration is ensuring that the data usage is secure and compliant, and risks are understood. We are the market leader in policy, risk and safety, which means we have an ample amount of data to train foundational LLMs with more accuracy and reliability. To achieve true connected healthcare operations, the first step is merging the disparate solutions, and the second is extracting data and normalizing it across those solutions. Hospitals will benefit greatly from a group of interconnected solutions that can combine data sets and provide actionable value to users, rather than maintaining separate data sets from individual point solutions.

In a recent keynote, Chief Product Officer Barbara Staruk shared how RLDatix is leveraging generative AI and large language models to streamline and automate patient safety incident reporting. Could you elaborate on how this works?

This is a really significant initiative for RLDatix and a great example of how we’re maximizing the potential of LLMs. When hospitals and health systems complete incident reports, there are currently three standard formats for determining the level of harm indicated in the report: the Agency for Healthcare Research and Quality’s Common Formats, the National Coordinating Council for Medication Error Reporting and Prevention and the Healthcare Performance Improvement (HPI) Safety Event Classification (SEC). Right now, we can easily train a LLM to read through text in an incident report. If a patient passes away, for example, the LLM can seamlessly pick out that information. The challenge, however, lies in training the LLM to determine context and distinguish between more complex categories, such as severe permanent harm, a taxonomy included in the HPI SEC for example, versus severe temporary harm. If the person reporting does not include enough context, the LLM won’t be able to determine the appropriate category level of harm for that particular patient safety incident.

RLDatix is aiming to implement a simpler taxonomy, globally, across our portfolio, with concrete categories that can be easily distinguished by the LLM. Over time, users will be able to simply write what occurred and the LLM will handle it from there by extracting all the important information and prepopulating incident forms. Not only is this a significant time-saver for an already-strained workforce, but as the model becomes even more advanced, we’ll also be able to identify critical trends that will enable healthcare organizations to make safer decisions across the board.

What are some other ways that RLDatix has begun to incorporate LLMs into its operations?

Another way we’re leveraging LLMs internally is to streamline the credentialing process. Each provider’s credentials are formatted differently and contain unique information. To put it into perspective, think of how everyone’s resume looks different – from fonts, to work experience, to education and overall formatting. Credentialing is similar. Where did the provider attend college? What’s their certification? What articles are they published in? Every healthcare professional is going to provide that information in their own way.

At RLDatix, LLMs enable us to read through these credentials and extract all that data into a standardized format so that those working in data entry don’t have to search extensively for it, enabling them to spend less time on the administrative component and focus their time on meaningful tasks that add value.

Cybersecurity has always been challenging, especially with the shift to cloud-based technologies, could you discuss some of these challenges?

Cybersecurity is challenging, which is why it’s important to work with the right partner. Ensuring LLMs remain secure and compliant is the most important consideration when leveraging this technology. If your organization doesn’t have the dedicated staff in-house to do this, it can be incredibly challenging and time-consuming. This is why we work with Amazon Web Services (AWS) on most of our cybersecurity initiatives. AWS helps us instill security and compliance as core principles within our technology so that RLDatix can focus on what we really do well – which is building great products for our customers in all our respective verticals.

What are some of the new security threats that you have seen with the recent rapid adoption of LLMs?

From an RLDatix perspective, there are several considerations we’re working through as we’re developing and training LLMs. An important focus for us is mitigating bias and unfairness. LLMs are only as good as the data they are trained on. Factors such as gender, race and other demographics can include many inherent biases because the dataset itself is biased. For example, think of how the southeastern United States uses the word “y’all” in everyday language. This is a unique language bias inherent to a specific patient population that researchers must consider when training the LLM to accurately distinguish language nuances compared to other regions. These types of biases must be dealt with at scale when it comes to leveraging LLMS within healthcare, as training a model within one patient population does not necessarily mean that model will work in another.

Maintaining security, transparency and accountability are also big focus points for our organization, as well as mitigating any opportunities for hallucinations and misinformation. Ensuring that we’re actively addressing any privacy concerns, that we understand how a model reached a certain answer and that we have a secure development cycle in place are all important components of effective implementation and maintenance.

What are some other machine learning algorithms that are used at RLDatix?

Using machine learning (ML) to uncover critical scheduling insights has been an interesting use case for our organization. In the UK specifically, we’ve been exploring how to leverage ML to better understand how rostering, or the scheduling of nurses and doctors, occurs. RLDatix has access to a massive amount of scheduling data from the past decade, but what can we do with all of that information? That’s where ML comes in. We’re utilizing an ML model to analyze that historical data and provide insight into how a staffing situation may look two weeks from now, in a specific hospital or a certain region.

That specific use case is a very achievable ML model, but we’re pushing the needle even further by connecting it to real-life events. For example, what if we looked at every soccer schedule within the area? We know firsthand that sporting events typically lead to more injuries and that a local hospital will likely have more inpatients on the day of an event compared to a typical day. We’re working with AWS and other partners to explore what public data sets we can seed to make scheduling even more streamlined. We already have data that suggests we’re going to see an uptick of patients around major sporting events or even inclement weather, but the ML model can take it a step further by taking that data and identifying critical trends that will help ensure hospitals are adequately staffed, ultimately reducing the strain on our workforce and taking our industry a step further in achieving safer care for all.

Thank you for the great interview, readers who wish to learn more should visit RLDatix.