Category: Articles (Page 1 of 2)

April 3, 2026 / Gary Burtka

When to Bring in a Fractional Chief Revenue Officer, Chief Growth Officer, or Strategic Advisor

Companies tend to think about hiring growth leadership only when something breaks.

Pipeline slows. Customer acquisition stalls. A product launch underperforms. Sales and marketing start pointing fingers at each other.

But in many cases, the most effective time to bring in senior revenue leadership is before growth problems appear.

Over the past decade I have worked with companies at very different stages. Some were early-stage startups trying to build their first go-to-market engine. Others were established organizations looking to unlock new markets, enterprise clients, or product lines.

What I have seen repeatedly is that fractional leadership at the C-level can serve very different strategic purposes depending on where a company is in its growth cycle.

Sometimes the role is about building the revenue engine.
Other times it is about unlocking strategic growth opportunities that internal teams are not positioned to pursue.

Understanding when each scenario makes sense can dramatically accelerate growth.

The Startup Use Case: Building the First Revenue Engine

In early-stage companies, growth often starts with the founder.

The founder sells the first customers. They manage marketing. They pitch partnerships. They handle pricing conversations. In the earliest days this approach works because it allows the company to move quickly.

Eventually, however, founder-led sales stops scaling.

Some common signals appear:

The founder is closing every deal personally
Marketing activity exists but does not consistently produce pipeline
There is no clear definition of the ideal customer profile
Sales conversations vary widely from one prospect to the next
The company is experimenting with growth but without a clear framework

This is the point where a fractional CRO or Chief Growth Officer can make an immediate impact.

The goal is not simply to run marketing campaigns or manage a sales team. The role is to build the first real revenue system.

That often includes:

defining the ICP and market positioning
designing the initial go-to-market strategy
identifying scalable acquisition channels
creating a repeatable sales process
aligning marketing and revenue objectives
securing early lighthouse customers

For startups, fractional leadership often serves as a bridge between founder-led growth and a full-time executive team.

Instead of making a premature full-time hire, the company gains experienced leadership while maintaining flexibility.

The Enterprise Use Case: Unlocking Strategic Growth

While the startup use case is widely discussed, fractional revenue leadership is also extremely effective inside larger organizations.

Enterprise companies often pursue new growth initiatives that fall outside the scope of existing teams.

These initiatives can include:

entering a new geographic market
launching a new product category
developing strategic partnerships
selling into a new industry segment
opening doors to marquee enterprise clients

The challenge is that these opportunities frequently sit between departments. Internal teams are responsible for existing revenue targets and operational priorities.

As a result, strategic growth initiatives can stall even when the opportunity is clear.

This is where a fractional CRO or Chief Growth Officer can operate as a focused growth catalyst.

Rather than managing the entire organization, the role centers on a specific mandate such as:

developing a market entry strategy
building early enterprise relationships
launching pilot programs with strategic customers
validating new revenue opportunities

In practice, this often functions like a growth strike team, focused entirely on opening new pathways for revenue.

The Lighthouse Client Strategy

One of the most effective ways to accelerate adoption in a new market is through what I often refer to as the lighthouse client strategy.

Instead of trying to sell broadly across a new category, the focus shifts to securing one highly visible early adopter.

The strategy is simple:

Identify a respected organization within the target market
Secure a pilot program or early deployment
Demonstrate measurable results
Use that credibility to unlock additional enterprise clients

When executed properly, this approach dramatically reduces the time required to establish credibility in a new market.

One strong reference client can often open doors that dozens of smaller deals cannot.

The Relationship Capital Advantage

Another important reason companies bring in senior fractional leadership is access to trusted relationships within the market.

At the enterprise level, growth often depends on opening conversations with the right people inside the right organizations. Building those relationships from scratch can take years.

Experienced revenue leaders often bring an existing network that can accelerate this process significantly.

These relationships can include:

introductions to potential enterprise clients
connections with strategic partners
access to distribution channels
relationships with investors or advisors
credibility within specific industries

These connections are rarely transactional. They are built over years of working together across companies, partnerships, and projects.

Because of that history, a single introduction can often move a conversation forward far faster than a traditional sales process.

For organizations entering a new market or launching a new product category, this type of relationship capital can be just as valuable as operational expertise.

Strategic Introductions vs Traditional Consulting

This dynamic highlights an important difference between senior fractional leadership and traditional consulting engagements.

Traditional consulting firms often provide:

research
analysis
recommendations
campaign execution

Senior fractional revenue leaders tend to operate differently.

They combine:

growth strategy
operational execution
targeted introductions to key decision makers

These introductions are rarely about volume.

The objective is to unlock a small number of high-value opportunities that can accelerate market adoption.

Five Reasons Companies Bring in Fractional Revenue Leadership

Across startups and enterprise organizations, there are several common reasons companies engage fractional CROs or Chief Growth Officers.

1. Building the first go-to-market engine

Startups often need experienced leadership to design the structure behind marketing, sales, and distribution.

2. Entering new markets

Companies expanding into new regions or industries benefit from leadership that understands how to establish early credibility.

3. Launching new products

New product categories often require new positioning, distribution channels, and sales strategies.

4. Unlocking strategic enterprise clients

Focused leadership can help open doors with key organizations that accelerate market adoption.

5. Leveraging relationship capital

Experienced operators often bring trusted relationships that can dramatically shorten the path to meaningful opportunities.

The Real Advantage of Fractional Revenue Leadership

Whether working with startups or enterprise organizations, the true advantage of fractional leadership is focus.

Internal executives are typically responsible for maintaining existing operations.

Fractional leadership is often brought in to solve a specific growth challenge.

That clarity allows companies to move faster.

For startups, it accelerates the development of a scalable go-to-market engine.

For enterprises, it unlocks strategic initiatives that might otherwise remain stuck in planning stages.

Final Thoughts

Companies often wait until growth slows before bringing in experienced revenue leadership.

In reality, the most effective time to introduce that leadership is often earlier, when new opportunities are emerging.

Whether the goal is building the first revenue engine, entering a new market, launching a product, or securing strategic enterprise clients, the right leadership at the right moment can dramatically accelerate results.

If your company is exploring new markets, launching a new product, or looking to accelerate revenue growth, Quanthym works with companies as a fractional growth partner to design and execute go-to-market strategy.

February 19, 2026 / Gary Burtka

Are lazy sales people causing inbox fatigue?

No one looks at anything I have posted before reaching out… what has happened?

Over the past year, a familiar narrative has surfaced among founders, fractional executives, and sales leaders:

LinkedIn does not work anymore.
Social selling is dead.
Outbound is broken.

These statements are not market observations. They are execution confessions.

LinkedIn is not declining in effectiveness. What is declining is the quality of strategy behind how it is used.

The Automation Trap

The barrier to outbound has collapsed.

AI tools now write connection requests, generate sequences, scrape contact data, and simulate personalization at scale. In theory, that should improve performance.

In practice, it has commoditized communication.

When thousands of operators use the same prompt frameworks, the same personalization placeholders, and the same recycled positioning language, everything starts to feel identical. Buyers receive messages that appear customized but feel manufactured.

Executives are not ignoring LinkedIn. They are filtering noise.

Automation is not the issue. Undisciplined automation is.

Qualification Has Disappeared

The most significant breakdown in modern social selling is the absence of qualification before outreach begins.

Few professionals are asking the questions that actually matter:

What stage is this company in?
Do they have the financial capacity for this solution?
Are they hiring aggressively or conserving cash?
Is there evidence of paid acquisition investment?
Does their digital presence indicate traction or experimentation?

Instead, of utilizing the free tools to access how a potential prospect is performing; or if they even have a viable business model let alone traction or volume, the go to has just been to prey on every new domain registry like it was the next California gold mine.

But sophisticated buyers do not respond to activity. They respond to relevance.

Ironically, the same tools being used to mass message prospects could be used to deeply research them. Most simply choose not to. Why are you so lazy?

When I was coming up through the ranks, my manager always challenged if I knew my prospects. Were they quality, was it timely, did we have a solution that could make an impact? I created strategic outreach that matched a possible issue they had. Toady, I receive a daily stream of AI vomit and then meet with leaders only to hear complaints about how nothing works anymore.

Today, sellers are only hoping to catch a potential lead, never thinking through if it is a good use of resources for either company. Seriously, just spending 2 minutes to do due diligence can make every interaction more meaningful and reduce 90% of the clutter we all face.

Activity Is Not Strategy

I get it, high outbound volume creates the illusion of momentum and keeps sales managers at bay. But at what cost? Just because the pipeline looks full, doesn’t mean it is. But more importantly, what is the quality of prospects and will their potential deliver the impact necessary to deliver the goal.

For many sales people it seems to be fingers crossed they connect with another automated AI agent; maybe the agents will bond. Perhaps they will meet on BotMelt or whatever Ai agent social media platform is popular these days. Meantime, in the real-world, humans are making real-time decisions regardless of what the bots opinions are.

Strategic social selling requires structure:

A defined Ideal Customer Profile
A clear value hypothesis tailored to that profile
Insight into business model and margin structure
Awareness of timing signals
A credible point of view before initiating contact

Without these elements, LinkedIn becomes a broadcast platform instead of a relationship engine.

And broadcasting rarely converts at the executive level.

The Positioning Problem

Another factor contributing to declining results is positioning inflation.

Profiles overloaded with stacked credentials and exaggerated titles weaken credibility. When every headline claims exponential growth expertise, differentiation disappears.

Decision-makers are not searching for buzzwords. They are assessing competence and asking peers for referrals.

Clarity outperforms cleverness. Precision outperforms posturing.

The Market Has Matured

Buyers today understand funnels. They recognize automation patterns. They can identify templated outreach immediately.

The bar has moved.

Social selling still works, but only when it reflects strategic intent, contextual understanding, and real business acumen.

The platform has not degraded. Expectations have increased.

A More Disciplined Approach

LinkedIn should not be treated as a volume-based experiment. It remains one of the most efficient executive networking and relationship-building environments available.

The organizations seeing consistent results are not sending 500 messages per week.

They are:

Targeting fewer accounts with precision
Building authority through informed content
Engaging before pitching
Delivering insight before requesting time

Discipline scales. Noise does not.

If your team believes LinkedIn is underperforming, the better question may be whether your approach is strategic enough for today’s buyer.

At Quanthym, we help founders, growth-stage companies, as well as established firms; feeling stuck in the rut ~ to build disciplined outbound and social selling systems rooted in qualification, positioning, and executive-level relevance.

If your pipeline feels active but not productive, it may be time to recalibrate.

Reach out. We are happy to review your current approach and identify where strategic leverage exists.

June 1, 2025 / Gary Burtka

Last month, I had the opportunity to attend the Global App Economy Conference in Washington, D.C.

I was there representing Quanthym and, more importantly, the founders, operators, and growth-stage companies we support every day.

It was not just another industry event. It was a convergence of policymakers, technology leaders, platform stakeholders, and digital economy advocates discussing the future of innovation in the United States.

And the conversations were substantive.

A Seat at the Table Where Policy Meets Innovation

The app economy is no longer niche. It is infrastructure.

From fintech and retail media to AI-driven SaaS and creator commerce, the digital economy is shaping employment, taxation, privacy standards, and international competitiveness. Events like this serve as a critical bridge between entrepreneurs and the policymakers influencing regulatory direction.

What stood out immediately was the caliber of dialogue. These were not abstract discussions about “tech trends.” They were grounded conversations about:

Platform accountability
Data governance
Competitive markets
Innovation incentives
The role of small and mid-sized businesses in the broader digital ecosystem

For companies operating in high-growth or regulated categories, these issues are not theoretical. They are operational realities.

Engaging With Federal Leadership

During the visit, I had the privilege of meeting with key officials and participating in discussions that extended beyond the conference venue. It was refreshing to not only receive a warm welcome, but also many introductions in return.

Our group had the privilege of experiencing many valuable meetings, including time at the White House Office of Science and Technology.

Walking through those offices as a founder and advisor was a reminder of how interconnected business and policy have become. The decisions made in those rooms influence capital flows, platform governance, AI development, digital privacy frameworks, and cross-border commerce.

Being there was not symbolic. It was strategic.

Representing Operators, Not Observers

I did not attend as a spectator.

I attended as someone responsible for helping companies scale responsibly in complex markets.

At Quanthym, we work with founders navigating:

Emerging regulatory scrutiny
Platform dependency risk
Paid media volatility
Cross-border expansion
Sensitive product categories

Policy impacts all of it.

When we advise clients on go-to-market strategy, landing page architecture, paid media structuring, or channel diversification, we are factoring in platform rules, compliance considerations, and shifting enforcement priorities.

Conversations at the conference reinforced something I already believed:

The most effective growth strategies are built with regulatory awareness from day one.

Ignoring policy does not make it irrelevant. It makes you vulnerable.

The App Economy Is a National Competitiveness Issue

One of the most important themes throughout the event was global competitiveness.

The app economy supports millions of jobs. It enables entrepreneurship without geographic constraints. It allows small businesses to compete at scale.

But it also operates within a rapidly evolving global regulatory landscape.

If U.S. innovators are overregulated while foreign competitors operate with fewer constraints, market imbalance follows.

If platform policies shift unpredictably, small operators suffer disproportionately.

These are not partisan issues. They are economic ones.

From my perspective, ensuring that founders and growth-stage companies have representation in these conversations is essential.

Why This Matters for Our Clients

Events like this reinforce why we approach growth strategy the way we do.

At Quanthym, we do not treat marketing and sales as isolated functions. They exist within broader systems:

Regulatory frameworks
Platform governance structures
Consumer data standards
International trade dynamics

Understanding that macro layer allows us to build more durable strategies at the micro level.

Attending the Global App Economy Conference was a reminder that the future of digital commerce will be shaped by collaboration between operators and policymakers.

If you are building in fintech, AI, commerce enablement, digital health, or any platform-dependent category, those conversations affect you directly.

Representing Quanthym in Washington was an honor.

More importantly, it was a responsibility.

If you are navigating growth in a regulated or platform-driven environment and want a strategy built with both market and policy realities in mind, reach out.

We operate at the intersection of execution and awareness, and that is where sustainable scale is built.

December 17, 2024 / Gary Burtka

In the ever-evolving digital landscape of 2025, the role of Search Engine Optimization (SEO) continues to be pivotal for any website aiming to thrive online. Despite the advancements in AI, the proliferation of voice search, and shifts in consumer behavior, SEO’s relevance has not diminished; in fact, it has evolved to meet new challenges and opportunities.

AI-Driven Search and User Intent: The integration of AI into search engines has transformed how SEO is approached. Search engines now better understand user intent, meaning that SEO strategies must focus more on providing answers rather than just keywords. In 2025, optimizing for conversational queries and AI-generated search experiences is crucial for maintaining visibility on search engine results pages (SERPs). This shift towards understanding and catering to search intent underscores SEO’s importance in delivering relevant content to users.

Zero-Click Searches and SERP Features: With the rise of zero-click searches, where users get their answers directly from the search results without clicking through to websites, SEO strategies need to adapt to secure visibility in featured snippets, knowledge panels, and other SERP features. Ensuring your content is structured to answer queries directly can help capture this traffic, which is increasingly significant.

Enhanced User Experience (UX): Google’s emphasis on user experience through metrics like Core Web Vitals has made UX a central component of SEO. Fast load times, mobile optimization, and intuitive site navigation are not just good practices but ranking factors. In 2025, providing a seamless user experience is a non-negotiable aspect of SEO, directly impacting engagement and conversion rates.

Local SEO for Hyper-Relevance: As consumers continue to seek hyper-localized information, local SEO becomes more critical than ever. Businesses that optimize for local search will see increased visibility in local packs, Google Maps, and voice search queries like “near me” searches, which can drive foot traffic or local business inquiries.

Brand Authority and Trustworthiness: Google’s focus on E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) principles for content evaluation means that SEO isn’t just about keywords but also about establishing your site as a credible source. In 2025, SEO strategies include not only technical optimization but also content that showcases deep industry knowledge and trustworthy authorship, enhancing your brand’s authority.

Adapting to Algorithm Changes: Search engines like Google are expected to continue updating their algorithms to counter spam, improve relevance, and enhance user experience. SEO in 2025 requires agility; staying informed about these updates and adjusting your SEO practices accordingly is essential to maintain or improve rankings.

The Role of Video and Visual SEO: With visual search becoming more prevalent, optimizing images, videos, and other multimedia content for SEO will be key. This not only aids in user engagement but also taps into new search behaviors like visual queries through tools like Google Lens.

Sustainable Traffic Strategy: SEO offers a sustainable way to attract traffic. Unlike paid advertising, which stops once the budget runs out, SEO can provide long-term benefits. In an era where digital marketing costs are rising, SEO remains a cost-effective tool for businesses looking to grow their online presence in 2025.

As we navigate 2025, SEO isn’t just surviving; it’s thriving by adapting to new technological advancements and user preferences. It remains an essential strategy for any website looking to enhance visibility, build trust, and drive quality traffic. Whether you’re a small local shop or an international corporation, SEO should be at the core of your digital strategy.

Now is the time to assess your website’s SEO health or to start building an SEO strategy that aligns with the trends of 2025. If you need help, consulting with SEO experts or using comprehensive SEO tools Quanthym can guide you in optimizing your site for both current and future search landscapes. Feel free to contact us to receive your free SEO audit.

April 14, 2023 / Gary Burtka

Mother’s Day is a prime opportunity for online marketers to boost their sales and engage with their audience. According to the website Ebbo, 74% of Mother’s Day shoppers won’t even begin to start shopping until April (many will start in May). While most Americans are planning to shop for mom this Mother’s Day, 84% of us plan to do so online. As the big day approaches, it’s essential to be well-prepared to make the most of this special occasion. Here are the top 5 tactical strategies that online marketers should implement to ensure a successful Mother’s Day.

Leverage Email Marketing

Email marketing is a powerful tool for online marketers, especially during holidays like Mother’s Day. Segment your email list based on demographics and preferences to send personalized offers and gift suggestions. Create visually appealing and mobile-friendly email templates with compelling subject lines to increase open rates and conversions. Schedule a series of emails leading up to Mother’s Day to keep your brand top of mind for gift-givers. Do not assume everyone knows when mother’s day is… many will forget or it will just not be top of mind.

Optimize Your Website and Landing Pages

Ensure your website and landing pages are optimized for Mother’s Day traffic. Create dedicated Mother’s Day sections or pages on your site that showcase gift ideas, special offers, and promotions. Make it easy for visitors to navigate and find relevant products. Implement SEO best practices to rank higher in search results and drive organic traffic to your site. Don’t be afraid to write a few blog posts about your top selling mother’s day gifts or even drop a countdown clock up so customers know when the last day to shop before mother’s day is.

Utilize Social Media Advertising

Social media platforms like Facebook, Instagram, TikTok, and Pinterest are ideal for promoting Mother’s Day offers and gift ideas. Create eye-catching visuals and engaging ad copy to target your audience effectively. Use platform-specific features like Facebook’s Lookalike Audiences, Instagram Stories, and Pinterest’s Promoted Pins to reach potential customers. Remember to capitalize on a mix of relevant generic and trending hashtags #mothersday2023. Make sure to monitor ad performance and adjust your targeting and budget accordingly.

Launch a Limited-Time Mother’s Day Influencer Campaign

Partner with influencers who resonate with your target audience to create authentic content promoting your Mother’s Day products and offers. Influencers can help you reach new customers and generate buzz around your brand. Coordinate a limited-time campaign that incentivizes followers to make a purchase within a specific time frame, creating a sense of urgency. Share your hashtag strategy with your influencers to maximize or perhaps even own a holiday hashtag.

Implement a Remarketing Strategy

Remarketing is a powerful way to re-engage potential customers who have previously interacted with your brand. Use remarketing ads from your advertising partners to target users who purchased this time last year. Display ads showcasing Mother’s Day offers and gift ideas to entice these users to return to your site and shop once again.

Implementing any of these 5 tactical strategies will help online marketers maximize their Mother’s Day campaign success. With careful planning, engaging content, and data-driven decision-making, your brand can create a memorable experience for consumers and increase sales during this special occasion.

March 31, 2023 / Gary Burtka

So you have recently stumbled across ChatGPT. After creating your free OpenAI account, you type in a few initial queries. Once you have exhausted your silly questions you move onto the serious ones. You can see the power, the results are so much more detailed than anything you have ever seen on a search engine results page. However, you are really not quite sure what to do with it all. Where do you even start?

ChatGPT , also known as chat-based Generative Pre-trained Transformers, is an advanced technology that can be utilized across a broad range of use cases. It is powered with a deep-learning neural network, making it some of the most sophisticated modern tech.

Some possibilities for you to use ChatGPT to enhance your life include:

Customer support: ChatGPT may be utilized to fabricate chatbots or virtual assistants, which can manage customer inquiries effectively and efficiently, leading to speedy and precise responses and ameliorating customer satisfaction.
Content creation: ChatGPT can lend a hand in generating various types of content such as articles, blog posts, social media updates, and more, which can significantly save time and effort for writers and marketers.
Language translation: ChatGPT can be subjected to training to translate text from one language to another, rendering it a valuable tool for individuals or businesses that require speedy and effective translations.
Conversational agents: ChatGPT can be utilized in developing AI-powered conversational agents for applications such as gaming, virtual reality, or simulations, which necessitate engaging and naturalistic dialogue.
Education and tutoring: ChatGPT can function as a virtual tutor, imparting knowledge and providing explanations, answering questions, and assisting students with their studies in various subjects.
Creative writing: ChatGPT can be of service to authors by assisting them in brainstorming ideas, developing plotlines, or generating character dialogue, which can expedite the creative writing process and stimulate creativity.
Data extraction and summarization: ChatGPT can facilitate in processing and summarizing extensive amounts of text data, extracting critical information and presenting it in a concise and easily comprehensible format.
Personal productivity: ChatGPT can be instrumental in creating AI-powered personal assistants that can aid with tasks like scheduling, reminders, email management, and other similar tasks, thereby boosting personal productivity.
Sentiment analysis: ChatGPT can be trained to scrutinize text and recognize sentiments, which can prove useful for businesses in gauging customer feedback or monitoring brand perception.
Code generation: ChatGPT can be of service to developers in generating code, providing solutions to coding challenges, or identifying and fixing bugs.

These are just a few examples of the potential applications of ChatGPT. As technology continues to evolve, it is highly probable that new use cases will surface. It is crucial to bear in mind the limitations of current AI models, including biases in training data and occasional inaccuracies, when incorporating ChatGPT into any application.

March 29, 2023 / Gary Burtka

It seems like each and every day now a new AI announcement is made. Given all of the recent updates I wanted to revisit my predictions for AI in Programmatic Media and follow up with a part 2. Below you will find more areas in Programmatic Advertising that I foresee being effected by AI.

AI-Powered Ad Targeting

One of the most significant benefits of AI in programmatic media is its ability to optimize ad targeting. With the help of AI algorithms, digital marketers can analyze vast amounts of data to identify patterns and trends in user behavior. By using this information, they can create more precise and effective ad campaigns that reach the right people at the right time.

AI can also help to overcome some of the challenges of programmatic media buying. For example, one of the most significant challenges of programmatic media buying is ad fraud. Ad fraud is when fake or bot traffic is used to inflate the number of ad impressions or clicks. AI technology can help to detect and block fraudulent traffic, reducing ad fraud and improving the overall quality of ad impressions.

AI-Generated Creative Assets

Another exciting development in the use of AI in programmatic media is the use of AI-generated creative assets. AI algorithms can analyze user behavior and create personalized ads that are more likely to resonate with the target audience. AI can also generate ad copy, imagery, and even videos. By using AI-generated creative assets, digital marketers can save time and resources while still delivering engaging and effective ad campaigns.

AI and Data Analysis

AI is also useful in programmatic media for analyzing vast amounts of data. Digital marketers can use AI algorithms to analyze data in real-time and make informed decisions about ad targeting and optimization. By using AI to analyze data, digital marketers can identify patterns and trends that humans may miss, enabling them to optimize their ad campaigns for maximum effectiveness.

AI and Privacy Concerns

As AI continues to play a more significant role in programmatic media, concerns around privacy and data protection have become more significant. AI algorithms rely on vast amounts of user data to function correctly, which has raised concerns about data privacy and security. Digital marketers must be mindful of these concerns and take steps to protect user data while still delivering effective ad campaigns. Watch for cookieless to become a trending conversation towards the later part of this year as we prepare for Google to either flip the switch or delay once again.

AI is transforming programmatic media buying by optimizing ad targeting, creating personalized ad campaigns, and analyzing vast amounts of data in real-time. As AI technology continues to evolve, the future of programmatic media buying is expected to become even more efficient and effective. However, digital marketers must also be mindful of privacy and data protection concerns as they leverage the power of AI in their ad campaigns. Overall, AI is an essential tool for digital marketers in programmatic media, and its continued evolution promises to revolutionize the digital marketing landscape.

Author’s Note: The featured image at the top of the page is a visual depiction of a Neural Network.

March 27, 2023 / Gary Burtka

While so many people are listing the roles that AI will be replacing over the next few years, I thought it would be fun to identify some of the new opportunities AI will create for us all. Artificial Intelligence (AI) is an industry that is experiencing rapid growth, which is transforming our lives and the way we work. As AI continues to make strides, it is generating novel career opportunities that necessitate a combination of technical and non-technical competencies.

AI is currently a nice-to-have for many organizations; shortly AI will need to be infused in all companies in order for them to remain efficient. The future is not necessarily about going to work at an AI company, but more less going to work for a company where AI is infused. This new AI infusion to help companies become more efficient will soon have roles for people with experience and expertise using AI. In this post, we will explore the premier AI jobs that will be in high demand in the coming years and provide insights on how to equip yourself for them.

Data Scientists

Data scientists are accountable for scrutinizing and construing intricate data to help businesses make informed decisions. With the growth of AI, the clamor for data scientists with AI proficiency is escalating.

To become an AI data scientist you will need to learn the rudiments of data science and statistics. You can acquire expertise in programming languages such as Python, R, and SQL. Concentrate on machine learning algorithms and techniques. Stay abreast of the most recent AI trends and technologies.

AI Software Engineer

AI engineers develop AI models and applications by capitalizing on machine learning algorithms, deep learning models, and neural networks. In addition, they also construct and maintain AI infrastructure and software systems.

To become an AI engineer you will likely need to attain a degree in computer science, software engineering, or a related field. One way to advance in this field is to take on projects and jobs that help you to build your proficiency in programming languages such as Python, Java, and C++. Forge a specialization in machine learning, deep learning, and neural networks. Make sure to stay up to date with the latest AI frameworks and tools such as TensorFlow and PyTorch.

AI Ethicists

AI ethics is becoming an increasingly significant field as AI is being incorporated into more domains of society. AI ethicists are responsible for designing ethical and responsible AI practices and policies.

To become an AI ethicist a degree in ethics, philosophy, or a related field would be incredibly helpful. Acquire knowledge in AI and machine learning / deep learning and stay up to date with the latest AI regulations and policies. Be sure to develop critical thinking and problem-solving skills along the way.

Chatbot Designers

Chatbots are becoming more ubiquitous in customer service, marketing, and other fields. Chatbot designers are accountable for designing and training chatbots that can interact with humans in a natural and captivating way.

To become a chatbot designer you will need to acquire knowledge in natural language processing and machine learning or deep learning AI. You will also need to develop expertise in programming languages such as Python and JavaScript. Be sure to stay up to date with the latest chatbot frameworks and tools such as Dialogflow and Botpress. Continue to develop strong communication and interpersonal skills.

Autonomous Vehicle Engineers

Autonomous vehicles are an expanding field that is expected to transform transportation. Autonomous vehicle engineers are responsible for developing and testing software and hardware systems that enable self-driving cars and other autonomous vehicles.

To become an autonomous vehicle engineer obtaining a degree in computer science, electrical engineering, or a related field is critical. Acquired knowledge in robotics, control systems, and artificial intelligence will be essential to be competitive in the job market. Be sure to compliment this by developing an expertise in programming languages such as C++ and Python. Stay up to date with the latest autonomous vehicle technologies and trends.

AI Sales and Marketing Specialists

AI is revolutionizing the sales and marketing industries by enabling more targeted and personalized campaigns than ever before. AI sales and marketing specialists are responsible for developing and implementing AI-powered strategies that optimize customer engagement and conversion.

To become an AI sales and marketing specialist earn a degree in marketing, business administration, or any related field. Your working knowledge in AI, machine learning and deep learning will be critical for such roles. Develop expertise in marketing automation platforms such as HubSpot and Marketo. Understand your competitors and how leaders like Google, TikTok and Facebook are using AI. Stay up to date with the latest AI-powered advertising and analytics tools.

As AI continues to advance, many jobs will be changed; while others will be eliminated all together. This opportunity will also create new novel career opportunities that require a combination of technical and non-technical competencies. From data scientists to AI sales and marketing specialists, the demand for AI-related jobs is on the rise. By acquiring the right skills and staying up to date with the latest trends and technologies; you can prepare for a prosperous career in an AI infused company.

March 22, 2023 / Gary Burtka

Artificial Intelligence (AI) has become an integral part of programmatic media buying. Its ability to analyze vast amounts of data and automate complex tasks has made it a valuable tool for digital marketers. With the evolution of AI technology, the future of programmatic media buying is expected to be more efficient and effective.

AI and Programmatic Media

Programmatic media buying involves the use of technology to automate the buying and selling of advertising inventory. It uses algorithms to analyze data and determine the best advertising opportunities in real-time. AI technology has been used to enhance programmatic media buying by automating the process of ad optimization and targeting.

The Role of AI in Programmatic Media

AI plays a crucial role in programmatic media buying. It can analyze large volumes of data to identify patterns and trends that humans may miss. By using AI, digital marketers can optimize their ad campaigns in real-time, ensuring that they reach the right audience at the right time. AI can also help to reduce ad fraud by detecting fraudulent traffic and blocking it.

AI and Personalization

One of the most significant benefits of AI in programmatic media is its ability to personalize ad campaigns. With AI technology, marketers can analyze user behavior and create personalized ads that are more likely to resonate with their target audience. By delivering personalized ads, digital marketers can increase the chances of conversion and maximize ROI.

AI and Creativity

Although AI is primarily used for data analysis and optimization, it can also play a role in creativity. AI technology can be used to generate ad copy, imagery, and even videos. By using AI-generated creative assets, digital marketers can save time and resources while still delivering engaging and effective ad campaigns.

AI and the Future of Programmatic Media

As AI technology continues to evolve, the future of programmatic media buying is expected to become even more efficient and effective. The use of AI will enable marketers to optimize their ad campaigns in real-time, personalize ads to specific audiences, and reduce ad fraud. AI technology will also enable marketers to create more engaging and effective creative assets, reducing the time and resources required for ad campaign development.

The Future of AI in Programmatic Media: Key Takeaways

AI plays a crucial role in programmatic media buying, automating the process of ad optimization and targeting.
AI technology can analyze large volumes of data, identifying patterns and trends that humans may miss.
AI enables marketers to personalize ad campaigns and create more engaging creative assets.
The future of programmatic media buying is expected to become even more efficient and effective with the evolution of AI technology.

In conclusion, AI has become an essential tool for digital marketers in programmatic media buying. Its ability to analyze vast amounts of data and automate complex tasks has made it a valuable asset in optimizing ad campaigns and reducing ad fraud. The future of programmatic media buying is expected to be even more efficient and effective with the continued evolution of AI technology. As AI continues to play a more significant role in digital marketing, it will be essential for marketers to keep up with the latest AI trends and technologies to remain competitive in the digital marketplace.