Business

Exciting careers that have a positive impact on society

Published

3 years ago

October 7, 2022

There are many careers that can have a positive impact on society, including careers in education, healthcare and public service.

These types of careers can help to make a difference in the lives of others and can make our world a better place. So, if you are looking for a career that will make a positive impact on society, consider one of these options:

Education — working in education can be a great way to make a positive impact on society. Teachers, for example, can shape the minds of future generations and help to instill important values in their students. By working in education, you can help to ensure that our world is filled with informed and compassionate citizens.

Healthcare — careers in healthcare can also make a positive difference to society. Healthcare professionals play an important role in keeping people healthy and ensuring that they receive the treatment they need. By working in healthcare, you can help to save lives and improve the quality of life for many people.

Public Service — careers in public service can also be very rewarding. Public servants play an important role in our society by helping to keep our communities safe and running smoothly. By working in public service, you can help to make a difference in the lives of others and can help to make our world a better place.

These are just a few of the many careers that can have a beneficial impact on society, so if you are looking for a career that will make a difference, any of these options could be worth considering.

A career in healthcare

There are a variety of careers available in healthcare. These include, but are not limited to, doctors, nurses, therapists and support staff.

Healthcare is a vital sector of the economy, and there is a high demand for qualified professionals. It should be noted that jobs in healthcare offer competitive salaries and excellent benefits.

With the aging population, the need for healthcare services is expected to grow in the coming years. This presents an excellent opportunity for those considering a career in healthcare.

There are many different types of healthcare facilities, such as hospitals, clinics, nursing homes and home healthcare agencies. Each type of facility has its own unique needs and requirements.

When choosing a career in healthcare, it is important to consider your skills and interests to find the best fit, and there are many online resources available to help you learn more about the different types of healthcare opportunities.

Nursing as a second career

The healthcare industry is always in need of qualified nurses, so if you are thinking about becoming a second career nurse, there are a few things you will need to do in order to make the transition.

First, you will need to obtain a nursing license which can be achieved by completing a distance learning course with a reputable provider such as Baylor University.

Once you have your license, you will be able to work as a registered nurse in a variety of settings, including hospitals, clinics and doctor’s offices.

In addition to getting your nursing license, you will also need to have some experience working in the healthcare industry. You may want to consider working as a certified nurse assistant or a medical assistant before becoming a registered nurse. This will give you some valuable experience working with patients and will help you better understand the nursing profession.

Once you have your nursing license and some experience working in healthcare, you will be well on your way to embarking on a successful second career as a nurse. With the right training and experience, you can make a real difference in the lives of those who need your care.

Different types of nursing jobs

There are many different types of nursing jobs available, from working in a hospital to caring for patients in their homes. Some nurses specialize in areas such as pediatrics or geriatrics, while others may work in more general settings. No matter what type of nursing job you are interested in, there are likely to be opportunities available to you.

Some of the most common nursing jobs include:

Registered nurse (RN): RNs provide direct care to patients and are responsible for ensuring that they receive the best possible care. RNs typically work in hospitals, but they may also work in other healthcare settings, such as clinics or doctor’s offices.

Licensed practical nurse (LPN): a licensed practical nurse provides basic nursing care to patients and works under the supervision of an RN. LPNs typically work in hospitals, but they may also work in other healthcare settings, such as nursing homes or home health agencies.

Certified nursing assistant (CNA): CNAs provide basic patient care, such as bathing and feeding, under the supervision of an RN or LPN. CNAs typically work in hospitals, but they may also work in other healthcare settings, such as nursing homes or home health agencies.

Nurse practitioner (NP): NPs are advanced practice nurses who provide direct patient care and may also prescribe medication. NPs typically work in hospital settings, but they may also work in other healthcare settings, such as clinics or doctor’s offices.

Registered nurse first assistant (RNFA): RNFAs are advanced practice nurses who work under the supervision of a surgeon to provide direct patient care during surgery. RNFAs typically work in hospital settings, but they may also work in other healthcare settings, such as clinics or doctor’s offices.

As you can see there are many different types of nursing jobs, some of which you may not have even considered, but the fact is that there is a massive demand for these types of healthcare professionals.

Choosing nursing as a second career could very well turn out to be an extremely astute move, giving individuals a great deal of job satisfaction as well as being financially rewarding.

Business

MetaWorx: Building Full-Stack AI Teams, Not Just Automation

Published

1 week ago

June 6, 2025

Matthew Wiles

Automation still dominates most headlines, yet the returns often fail to meet expectations. A sprawling chatbot rollout might shave a few support tickets, but it rarely shifts the profit-and-loss statement in a lasting way.

McKinsey’s 2025 workplace survey pegs AI’s long-term productivity upside at $4.4 trillion, but only one percent of enterprises say they’ve reached true “AI maturity.” MetaWorx, a Dallas, Texas-based AI employee agency founded by Rachel Kite, argues that the shortfall has nothing to do with models and everything to do with people.

“Treat AI like a point solution and you’ll get point-solution results,” shares Kite. “You need a roster that can carry the ball from raw data to governance, or the whole thing stalls at the proof-of-concept phase.”

The pod blueprint

When a plug-and-play automation script collapsed under real-world data drift, costing Kite a lucrative contract, she sketched the six-person “pod” that now anchors every MetaWorx engagement:

An infrastructure architect to tame compute costs.
A data engineer to secure and shape pipelines.
An applied scientist to prototype models against live feedback loops.
An MLOps engineer to automate rollback and retraining.
A domain product lead translates forecasts into features users actually notice.
Ethics and compliance analysts to stress test outputs for bias and keep the audit.

The team’s first sprint still delivers a quick-win bot — “small enough to calm the CFO,” jokes Kite — but the roadmap quickly pivots to reliability, explainability, and eventually optimization. By tying every algorithmic decision to a quantifiable business metric, the pods turn AI from a science project into a growth lever.

Recruiting for curiosity, not credentials

With Bain & Company predicting a global AI-skills crunch through 2027, MetaWorx has stopped chasing unicorn résumés. Instead, it hires “adjacent athletes”: a computer-vision PhD who hops from medical imaging to warehouse surveillance, or a former journalist who recasts her nose for story into prompt-engineering finesse.

“Domain expertise expires fast,” Kite says. “What doesn’t expire is the instinct to ask better questions.” The result is a lattice of overlapping skills that stays flexible when models wander into the long tail of edge-case data.

A culture of rapid experiments

Inside MetaWorx, every idea faces the same litmus test: ship something — anything — into a user’s hands within 21 days. The “three-week rule” forces prototypes into the wild early, where failure is cheap and feedback is swift. Post-mortems, including cost overruns, are circulated company-wide, erasing any stigma associated with missteps.

That laboratory mindset powers velocity. “Our first model is almost always wrong,” Kite admits, “but version 1.0 is the tuition we pay for version 2.0.” The philosophy echoes her TEDx talk on resilience: progress is iterative, not heroic.

How leaders can steal the playbook

Executives itching to replicate MetaWorx’s results don’t need a blank check. Kite offers a five-step sequence:

Inventory pain points, not tools: Walk the P&L line by line and tag the friction you can measure.

Map the stack to the problem: A recommendation engine, for instance, requires behavior data, retraining triggers, and feedback capture — automation alone won’t suffice.

Stand up a pod: Reassign existing talent into a cross-functional tiger team before hiring externally; the chemistry test is free.

Measure the story, not just the statistic: Pair model accuracy with human-scale metrics like ticket backlog or employee churn.

Budget for the boring: Reserve at least 30 percent of spend for MLOps and governance; Stanford’s HAI review links most AI failures to neglected upkeep.

Taken together, those steps shift AI from a pilot novelty to an operational habit that compounds value rather than topping out after an initial PR splash.

Character still scales faster than code

MetaWorx plans to double its headcount this year, yet Kite insists the secret isn’t a proprietary framework or a monster war chest. It’s credibility. Clients see a founder who has wrestled with the same outages and surprise bills they face. That authenticity converts skeptics faster than any algorithmic novelty.

“Tools level out,” Kite says. “Culture compounds.”

The insight lands in a marketplace still dazzled by generative fireworks. Yes, MetaWorx ships models and dashboards, but its true product is a mindset: resilience over rigidity, questions over credentials, experiments over edicts. In Kite’s world, automation is merely the appetizer. The main course is a full-stack team that knows why the model matters to the business and who owns its success after launch day.

And that, Kite argues, is how AI finally graduates from cost-cutter to growth engine, one curious pod at a time.