When an applicant goes on an interview, he or she usually is pretty well prepared. But what about the people on the other side of the interviewing table?
When an applicant goes on an interview, he or she usually is pretty well prepared. After all,
most job seekers are aware of the need to do their homework before an interview,
and they take advantage of the resources offered by outplacement and
coaching services, social and business web sites, newspaper and magazine articles, and
professional organizations.
But what about the people on the other side of the interviewing table? Are they
equally well prepared? Are they trained to effectively evaluate the candidates they are
meeting? Are they treating applicants with respect and leaving them excited about working
for their companies?
To find out, I asked executives at 23 Fortune 500 companies about their hiring
processes and how their companies managed their staffs' interviewing behavior
and attitude. These were all large companies in a variety of industries,
including chemical, computer, consulting, consumer products, electronics,
paper products, pharmaceutical/medical, publishing, mineral/ metals, and retailing.
The executives were assured that they and their companies would not be identified,
so that they could speak openly.
The results of my informal survey were very interesting. Twenty-one of
the companies had established formal processes for interviewing candidates.
Ten offered formal help and training on the interviewing process
and provided interviewing tools, such as lists of questions to ask and
forms for documenting and measuring candidates' skills and abilities.
Only one company, however, certified its managers in interviewing and
offered them refresher courses.
Of the 23 responding firms, not one provided education on how to
treat candidates and what courtesies to extend to them. With the exception of three
industries (consumer products, retail, and consulting), the interviewing process was not
designed to motivate candidates toward anything beyond the position that they were
being interviewed for.
The lack of thorough training for hiring professionals is troubling, because a poorly
conducted interview can have negative repercussions for you and your company now
and in the future. Most immediately, it could result in a candidate refusing to continue the
interviewing process or possibly even refusing your offer. People refuse positions for many
reasons, but you never want to lose a person you wish to hire as a result of your actions.
As for the future, there is always the possibility that the people you interview today
may someday be on the other side of the table interviewing you for a position. Or they may
be a customer of your product or service, either professionally or personally. We all
have long memories when it comes to people who have treated us poorly, and if given a
choice, we try to avoid purchasing products from or doing business with them.
Tips for working with applicants
How should you treat applicants for positions? Here are some recommendations for
anyone involved in the hiring process.
First, be positive and show enthusiasm about the position, your company, and the
person you are interviewing. A positive attitude should be evident whenever applicants
interact with someone involved in hiring, beginning with the first person in your company
to contact them and continuing throughout the interview process.
Treat all candidates professionally. Even if a candidate is not the right person for your
current position, you should continue to treat him or her with respect. In the future, there
could be another position that is right for that person. Moreover, you want good candidates
to think highly enough of your organization that they will want to apply for other
opportunities.
Take the time to extend some common courtesies that will make candidates feel comfortable.
For example, be sure the day and time of the interview is convenient for both interviewer
and interviewee. Be sure to take travel arrangements into consideration; you
want to see candidates at their best, not suffering from the effects of overnight travel at
an early-morning interview.
Give applicants enough time and sufficient information
to prepare for their interviews. Send them the material
they will need to understand the position; the interviewing agenda,
with the names of the interviewers and their titles; an organizational chart; and recent
information about your company. Verify that they have received and understood the information
you sent. Follow up on all communications and correspondence, especially e-mails and voice
mails.
Set limits on your interviewing process and have reasonable expectations of candidates. Do
not "overinterview" them. If, for example, your process consists of two telephone interviews,
six face-to-face interviews with a total of 10 people, psychological testing, and a formal
presentation by the candidate, you may end up with no survivors!
Don't try to evaluate candidates too heavily on psychological grounds, looking for the
deep-seated reasons for their past failures and what they learned from them. Personality
("chemistry"), work experience, accomplishments, and references are more important. Indeed, I
sometimes wonder if members of some selection teams I've encountered would be able to meet
their own criteria and make it through their own hiring processes. Remember, you are not a
behavioral or social psychologist, and you're not hiring nuclear scientists.
Further to that point, you should use testing as a tool for separating out those candidates who
exhibit extremes in behavior or lack the technical expertise you need, not
as the major criterion for eliminating them from consideration. Such an
approach can backfire. For example, some other recruiters and I have worked with a medical company
that requires candidates to take a psychological test before they interview. Applicants who
pass that hurdle then go through additional testing. Not one of my candidates or the other
recruiters' candidates qualified. Yet passing the tests did not predict success. The company had extremely
high turnover, and within nine months of being hired, its
three new directors were sending us résumés and looking for
new positions. What is the point of conducting such stringent testing if it produces
results like those?
Finally, treat people who are unemployed with respect, and don't act as if their being unemployed
is a symptom of incompetence. In today's economy, we all—even the most competent, talented,
and experienced among us—face this possibility. Be sensitive to candidates who are in
this position, and don't take away their pride. I once worked with a candidate who suggested
that everyone should lose their job once in their careers so they could understand how frustrating
it is and how vulnerable we all are. He thought that such an experience might change interviewers'
and companies' attitudes and sensitivity toward applicants who are out of work. Sad to
say, he has a point.
Conditions certainly have changed since the mid-2000s, when jobs were plentiful and companies
were having difficulty finding qualified supply chain professionals to fill openings. Today's
high rate of unemployment means that there are more strongly qualified candidates available now
than there were in the recent past. That situation will change at some point, though. When it
does, hiring managers will need to make use of the good reputation they have earned by treating
interviewees with the respect they deserve.
Benefits for Amazon's customers--who include marketplace retailers and logistics services customers, as well as companies who use its Amazon Web Services (AWS) platform and the e-commerce shoppers who buy goods on the website--will include generative AI (Gen AI) solutions that offer real-world value, the company said.
The launch is based on “Amazon Nova,” the company’s new generation of foundation models, the company said in a blog post. Data scientists use foundation models (FMs) to develop machine learning (ML) platforms more quickly than starting from scratch, allowing them to create artificial intelligence applications capable of performing a wide variety of general tasks, since they were trained on a broad spectrum of generalized data, Amazon says.
The new models are integrated with Amazon Bedrock, a managed service that makes FMs from AI companies and Amazon available for use through a single API. Using Amazon Bedrock, customers can experiment with and evaluate Amazon Nova models, as well as other FMs, to determine the best model for an application.
Calling the launch “the next step in our AI journey,” the company says Amazon Nova has the ability to process text, image, and video as prompts, so customers can use Amazon Nova-powered generative AI applications to understand videos, charts, and documents, or to generate videos and other multimedia content.
“Inside Amazon, we have about 1,000 Gen AI applications in motion, and we’ve had a bird’s-eye view of what application builders are still grappling with,” Rohit Prasad, SVP of Amazon Artificial General Intelligence, said in a release. “Our new Amazon Nova models are intended to help with these challenges for internal and external builders, and provide compelling intelligence and content generation while also delivering meaningful progress on latency, cost-effectiveness, customization, information grounding, and agentic capabilities.”
The new Amazon Nova models available in Amazon Bedrock include:
Amazon Nova Micro, a text-only model that delivers the lowest latency responses at very low cost.
Amazon Nova Lite, a very low-cost multimodal model that is lightning fast for processing image, video, and text inputs.
Amazon Nova Pro, a highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks.
Amazon Nova Premier, the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models
Amazon Nova Canvas, a state-of-the-art image generation model.
Amazon Nova Reel, a state-of-the-art video generation model that can transform a single image input into a brief video with the prompt: dolly forward.
Economic activity in the logistics industry expanded in November, continuing a steady growth pattern that began earlier this year and signaling a return to seasonality after several years of fluctuating conditions, according to the latest Logistics Managers’ Index report (LMI), released today.
The November LMI registered 58.4, down slightly from October’s reading of 58.9, which was the highest level in two years. The LMI is a monthly gauge of business conditions across warehousing and logistics markets; a reading above 50 indicates growth and a reading below 50 indicates contraction.
“The overall index has been very consistent in the past three months, with readings of 58.6, 58.9, and 58.4,” LMI analyst Zac Rogers, associate professor of supply chain management at Colorado State University, wrote in the November LMI report. “This plateau is slightly higher than a similar plateau of consistency earlier in the year when May to August saw four readings between 55.3 and 56.4. Seasonally speaking, it is consistent that this later year run of readings would be the highest all year.”
Separately, Rogers said the end-of-year growth reflects the return to a healthy holiday peak, which started when inventory levels expanded in late summer and early fall as retailers began stocking up to meet consumer demand. Pandemic-driven shifts in consumer buying behavior, inflation, and economic uncertainty contributed to volatile peak season conditions over the past four years, with the LMI swinging from record-high growth in late 2020 and 2021 to slower growth in 2022 and contraction in 2023.
“The LMI contracted at this time a year ago, so basically [there was] no peak season,” Rogers said, citing inflation as a drag on demand. “To have a normal November … [really] for the first time in five years, justifies what we’ve seen all these companies doing—building up inventory in a sustainable, seasonal way.
“Based on what we’re seeing, a lot of supply chains called it right and were ready for healthy holiday season, so far.”
The LMI has remained in the mid to high 50s range since January—with the exception of April, when the index dipped to 52.9—signaling strong and consistent demand for warehousing and transportation services.
The LMI is a monthly survey of logistics managers from across the country. It tracks industry growth overall and across eight areas: inventory levels and costs; warehousing capacity, utilization, and prices; and transportation capacity, utilization, and prices. The report is released monthly by researchers from Arizona State University, Colorado State University, Rochester Institute of Technology, Rutgers University, and the University of Nevada, Reno, in conjunction with the Council of Supply Chain Management Professionals (CSCMP).
Specifically, 48% of respondents identified rising tariffs and trade barriers as their top concern, followed by supply chain disruptions at 45% and geopolitical instability at 41%. Moreover, tariffs and trade barriers ranked as the priority issue regardless of company size, as respondents at companies with less than 250 employees, 251-500, 501-1,000, 1,001-50,000 and 50,000+ employees all cited it as the most significant issue they are currently facing.
“Evolving tariffs and trade policies are one of a number of complex issues requiring organizations to build more resilience into their supply chains through compliance, technology and strategic planning,” Jackson Wood, Director, Industry Strategy at Descartes, said in a release. “With the potential for the incoming U.S. administration to impose new and additional tariffs on a wide variety of goods and countries of origin, U.S. importers may need to significantly re-engineer their sourcing strategies to mitigate potentially higher costs.”
Grocers and retailers are struggling to get their systems back online just before the winter holiday peak, following a software hack that hit the supply chain software provider Blue Yonder this week.
The ransomware attack is snarling inventory distribution patterns because of its impact on systems such as the employee scheduling system for coffee stalwart Starbucks, according to a published report. Scottsdale, Arizona-based Blue Yonder provides a wide range of supply chain software, including warehouse management system (WMS), transportation management system (TMS), order management and commerce, network and control tower, returns management, and others.
Blue Yonder today acknowledged the disruptions, saying they were the result of a ransomware incident affecting its managed services hosted environment. The company has established a dedicated cybersecurity incident update webpage to communicate its recovery progress, but it had not been updated for nearly two days as of Tuesday afternoon. “Since learning of the incident, the Blue Yonder team has been working diligently together with external cybersecurity firms to make progress in their recovery process. We have implemented several defensive and forensic protocols,” a Blue Yonder spokesperson said in an email.
The timing of the attack suggests that hackers may have targeted Blue Yonder in a calculated attack based on the upcoming Thanksgiving break, since many U.S. organizations downsize their security staffing on holidays and weekends, according to a statement from Dan Lattimer, VP of Semperis, a New Jersey-based computer and network security firm.
“While details on the specifics of the Blue Yonder attack are scant, it is yet another reminder how damaging supply chain disruptions become when suppliers are taken offline. Kudos to Blue Yonder for dealing with this cyberattack head on but we still don’t know how far reaching the business disruptions will be in the UK, U.S. and other countries,” Lattimer said. “Now is time for organizations to fight back against threat actors. Deciding whether or not to pay a ransom is a personal decision that each company has to make, but paying emboldens threat actors and throws more fuel onto an already burning inferno. Simply, it doesn’t pay-to-pay,” he said.
The incident closely followed an unrelated cybersecurity issue at the grocery giant Ahold Delhaize, which has been recovering from impacts to the Stop & Shop chain that it across the U.S. Northeast region. In a statement apologizing to customers for the inconvenience of the cybersecurity issue, Netherlands-based Ahold Delhaize said its top priority is the security of its customers, associates and partners, and that the company’s internal IT security staff was working with external cybersecurity experts and law enforcement to speed recovery. “Our teams are taking steps to assess and mitigate the issue. This includes taking some systems offline to help protect them. This issue and subsequent mitigating actions have affected certain Ahold Delhaize USA brands and services including a number of pharmacies and certain e-commerce operations,” the company said.
Editor's note:This article was revised on November 27 to indicate that the cybersecurity issue at Ahold Delhaize was unrelated to the Blue Yonder hack.
The new funding brings Amazon's total investment in Anthropic to $8 billion, while maintaining the e-commerce giant’s position as a minority investor, according to Anthropic. The partnership was launched in 2023, when Amazon invested its first $4 billion round in the firm.
Anthropic’s “Claude” family of AI assistant models is available on AWS’s Amazon Bedrock, which is a cloud-based managed service that lets companies build specialized generative AI applications by choosing from an array of foundation models (FMs) developed by AI providers like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself.
According to Amazon, tens of thousands of customers, from startups to enterprises and government institutions, are currently running their generative AI workloads using Anthropic’s models in the AWS cloud. Those GenAI tools are powering tasks such as customer service chatbots, coding assistants, translation applications, drug discovery, engineering design, and complex business processes.
"The response from AWS customers who are developing generative AI applications powered by Anthropic in Amazon Bedrock has been remarkable," Matt Garman, AWS CEO, said in a release. "By continuing to deploy Anthropic models in Amazon Bedrock and collaborating with Anthropic on the development of our custom Trainium chips, we’ll keep pushing the boundaries of what customers can achieve with generative AI technologies. We’ve been impressed by Anthropic’s pace of innovation and commitment to responsible development of generative AI, and look forward to deepening our collaboration."