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Acorns launches job searching tool, but is that what job hunters need?

(TECH NEWS) When it comes to job searching, many people are able to find jobs online, it’s getting the interview where people need help.

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Woman doing a job search on laptop seated on floor

If you are currently job searching, you are likely going to sites like Indeed (250M unique visitors monthly) and LinkedIn (260M users monthly). You may also be checking out ZipRecruiter because they’ve advertised on every single podcast you’ve ever listened to. Just for fun, you might also be looking at jobs on Craigslist for your local area. This could have excited you or depressed you.

If you want an easy way to aggregate several job search sites, you may like the app Huntr that will pull in job postings (after you put in some preferences) from Glassdoor, Google, LinkedIn, ZipRecruiter, GitHub, the muse, Dice, Monster, Indeed, Angel.co, Dribbble, etc. so you have them all within one place.

Acorns has joined in on the job postings board by implementing a Job Finder within their app, in an effort to help people find work which makes sense if they want more people to save through their platform. “Acorns is an American financial technology and financial services company based in Irvine, California that specializes in micro-investing and robo-investing. As of 2019, Acorns had over 4.5 million users and over $1.2 billion in assets under management.”

The article from The Press that describes it tells consumers about adding in a Job Finder to help millions of people find jobs. But really, it’s great as a positive public relations initiative (and likely will drive more visits to ZipRecruiter postings) since it’s within their app. The gesture is nice but will it really help?

“Within a few taps, Acorns customers at every tier can find millions of full-time, part-time, and remote job opportunities, set job alerts, and explore custom career development content to support their financial wellness at no additional cost. By introducing Job Finder to its financial wellness system, Acorns is looking after the financial best interests of the up-and-coming and removing a main barrier to its customers achieving their money goals.”

Most people know where to find job postings. What they don’t know is why they aren’t hearing back from their applications or how to be invited for more interviews. It would be great if companies really wanted to help make an impact on unemployment by:

  • Offering career coaching services or references to candidates that do not fit what the hiring manager or HR person is looking for.
  • Giving people access to what key skills they need on their resume within the job posting (less vague and generic descriptions).
  • Within the automated rejection letters, including a referral or resources that will help them break through the clutter or introduce them to current employees or how to get to know the company better – in case there’s a position that is a better fit.
  • Ensuring that all job postings are for real jobs and real openings – it should be made clear to candidates if the job posting is for pipelining talent and/or not going to be offered to an external candidate.
  • Bringing back some humans in to the automated process. Yes, ATS (Applicant Tracking Systems) are great for the employers and companies who are fielding hundreds of applicants. They are terrible for the 40 million currently unemployed. More about ATS here from Jobscan if you are curious. They are built to knock out candidates.
  • Considering hosting webinars, educational speakers, or events where candidates can get in front of you versus solely relying on online submissions.
  • Contemplating implementing an apprentice program so that less experienced applicants may gain knowledge and learn from more experienced workers – but you would also be getting fresh ideas and new talent for growth within your organization.

There are many caring people and organizations out there so it would be great to see some more assistance for job seekers versus just more places listing job postings or the same job boards but in different formats.

There also seems to be a mismatch in looking to hire someone based on what they have done in the past – when really, the best qualified candidate may have a different background and be looking to make a switch to continue to grow and learn. The perfect match of key words in a database to a resume are not always the best way to find the right fit.

Erin Wike is a Career Coach & Lecturer at The University of Texas at Austin and owner of Cafe Con Resume. Erin is fueled by dark roast coffee with cream AND sugar, her loving husband, daughter, and two rescue dogs. She is the Co-Founder of Small Business Friends ATX to help fellow entrepreneurs + hosts events for people to live a Life of Yes with Mac & Cheese Productions.

Tech News

4 ways startups prove their investment in upcoming technology trends

(TECH NEWS) Want to see into the future? Just take a look at what technology the tech field is exploring and investing in today — that’s the stuff that will make up the world of tomorrow.

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Woman testing VR technology

Big companies scout like for small ones that have proven ideas and prototypes, rather than take the initial risk on themselves. So startups have to stay ahead of technology by their very nature, in order to be stand-out candidates when selling their ideas to investors.

Innovation Leader, in partnership with KPMG LLP, recently conducted a study that sheds light onto the bleeding edge of tech: The technologies that the biggest companies are most interested in building right now.

The study asked its respondents to group 16 technologies into four categorical buckets, which Innovation Leader CEO Scott Kirsner refers to as “commitment level.”

The highest commitment level, “in-market or accelerating investment,” basically means that technology is already mainstream. For optimum tech-clairvoyance, keep your eyes on the technologies which land in the middle of the ranking.

“Investing or piloting” represents the second-highest commitment level – that means they have offerings that are approaching market-readiness.

The standout in this category is Advanced Analytics. That’s a pretty vague title, but it generally refers to the automated interpretation and prediction on data sets, and has overlap with Machine learning.

Wearables, on the other hand, are self explanatory. From smart watches to location trackers for children, these devices often pick up on input from the body, such heart rate.

The “Internet of Things” is finding new and improved ways to embed sensor and network capabilities into objects within the home, the workplace, and the world at large. (Hopefully that doesn’t mean anyone’s out there trying to reinvent Juicero, though.)

Collaboration tools and cloud computing also land on this list. That’s no shock, given the continuous pandemic.

The next tier is “learning and exploring”— that represents lower commitment, but a high level of curiosity. These technologies will take a longer time to become common, but only because they have an abundance of unexplored potential.

Blockchain was the highest ranked under this category. Not surprising, considering it’s the OG of making people go “wait, what?”

Augmented & virtual reality has been hyped up particularly hard recently and is in high demand (again, due to the pandemic forcing us to seek new ways to interact without human contact.)

And notably, AI & machine learning appears on rankings for both second and third commitment levels, indicating it’s possibly in transition between these categories.

The lowest level is “not exploring or investing,” which represents little to no interest.

Quantum computing is the standout selection for this category of technology. But there’s reason to believe that it, too, is just waiting for the right breakthroughs to happen.

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Tech News

Internet of Things and deep learning: How your devices are getting smarter

(TECH NEWS) The latest neural network from Massachusetts Institute of Technology shows a great bound forward for deep learning and the “Internet of Things.”

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Woman using smart phone to control other devices in home, connected to deep learning networks

The deep learning that modifies your social media and gives you Google search results is coming to your thermostat.

Researchers at the Massachusetts Institute of Technology (MIT) have developed a deep learning system of neural networks that can be used in the “Internet of Things” (IoT). Named MCUNet, the system designs small neural networks that allow for previously unseen speed and accuracy for deep learning on IoT devices. Benefits of the system include energy savings and improved data security for devices.

Created in the early 1980s, the IoT is essentially a large group of everyday household objects that have become increasingly connected through the internet. They include smart fridges, wearable heart monitors, thermostats, and other “smart” devices. These gadgets run on microcontrollers, or computer chips with no processing system, that have very little processing power and memory. This has traditionally made it hard for deep learning to occur on IoT devices.

“How do we deploy neural nets directly on these tiny devices? It’s a new research area that’s getting very hot,” said Song Han, Assistant Professor of Computer Science at MIT who is a part of the project, “Companies like Google and ARM are all working in this direction.”

In order to achieve deep learning for IoT connected machines, Han’s group designed two specific components. The first is TinyEngine, an inference engine that directs resource management similar to an operating system would. The other is Tiny NAS, a neural architecture search algorithm. For those not well-versed in such technical terms, think of these things like a mini Windows 10 and machine learning for that smart fridge you own.

The results of these new components are promising. According to Han, MCUNet could become the new industry standard, stating that “It has huge potential.” He envisions the system has one that could help smartwatches not just monitor heartbeat and blood pressure but help analyze and explain to users what that means. It could also lead to making IoT devices far more secure than they are currently.

“A key advantage is preserving privacy,” says Han. “You don’t need to transmit the data to the cloud.”

It will still be a while until we see smart devices with deep learning capabilities, but it is all but inevitable at this point—the future we’ve all heard about is definitely on the horizon.

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Tech News

Google is giving back some privacy control? (You read that right)

(TECH NEWS) In a bizarre twist, Google is giving you the option to opt out of data collection – for real this time.

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Open laptop on desk, open to map privacy options

It’s strange to hear “Google” and “privacy” in the same sentence without “concerns” following along, yet here we are. In a twist that’s definitely not related to various controversies involving the tech company, Google is giving back some control over data sharing—even if it isn’t much.

Starting soon, you will be able to opt out of Google’s data-reliant “smart” features (Smart Compose and Smart Reply) across the G-Suite of pertinent products: Gmail, Chat, and Meet. Opting out would, in this case, prevent Google from using your data to formulate responses based on your previous activity; it would also turn off the “smart” features.

One might observe that users have had the option to turn off “smart” features before, but doing so didn’t disable Google’s data collection—just the features themselves. For Google to include the option to opt out of data collection completely is relatively unprecedented—and perhaps exactly what people have been clamoring for on the heels of recent lawsuits against the tech giant.

In addition to being able to close off “smart” features, Google will also allow you to opt out of data collection for things like the Google Assistant, Google Maps, and other Google-related services that lean into your Gmail Inbox, Meet, and Chat activity. Since Google knowing what your favorite restaurant is or when to recommend tickets to you can be unnerving, this is a welcome change of pace.

Keep in mind that opting out of data collection for “smart” features will automatically disable other “smart” options from Google, including those Assistant reminders and customized Maps. At the time of this writing, Google has made it clear that you can’t opt out of one and keep the other—while you can go back and toggle on data collection again, you won’t be able to use these features without Google analyzing your Meet, Chat, and Gmail contents and behavior.

It will be interesting to see what the short-term ramifications of this decision are. If Google stops collecting data for a small period of time at your request and then you turn back on the “smart” features that use said data, will the predictive text and suggestions suffer? Only time will tell. For now, keep an eye out for this updated privacy option—it should be rolling out in the next few weeks.

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