Knowledge Diagram Navigation:

Spatial co-ordinations are initially random, and will automatically re-arrange to minimize complexity based on distance between relationships. Mouse down and drag to pan. Right click on the strategic diagram toggles between motion and stationary. Hover over abstract node (orange) to view abstractions. Hover over leaf node to view corresponding narrative. Left click on the leaf node expands the narrative to view full text.

Narrative Analysis - Report

Key Focus

corporate work force last year.. . The retailer has been clear that the tool is meant to boost productivity. In an interview last year, Donna Morris, Walmart's chief people officer, said one of the goals was to eliminate some mundane work so employees could focus on tasks that have more impact ...

Gordon has argued that new technologies in recent years, while important, have probably not been transformative enough to give a lasting lift to productivity growth.. . "The enthusiasm about large language models and ChatGPT has gone a bit overboard," he said in an interview. ...

"We're not seeing it in the data yet," he said, explaining that he thinks that a recent pickup in productivity has been more of a snapback from a steep drop-off during the pandemic. ...

At Walmart, the largest retailer in the United States with 1.6 million workers, the company's employee app has a section called "My Assistant," which is backed by generative A.I ...

The question is whether the technology will actually make companies more efficient.. . Rapid productivity improvement is the dream for both companies and economic policymakers ...

No momentum supporting factor found

No challenge supporting factor found

Work-in-progress supporting factors

(productivity,tool)

(productivity,technology)

(productivity,technologies)

(productivity,snapback)

(productivity,retailer)

(productivity,pandemic)

(productivity,overboard)

(productivity,models)

(company,united_states)

(company,workers,united_states)

(technology,company,united_states)

(technology,company,workers,united_states)

(technology,questions,united_states)

(technology,workers,united_states)

(company,workers,retailer)

Time Period	Challenge	Momentum	WIP
Report	0.00	0.00	100.00

High Level Abstraction (HLA) combined

High Level Abstraction (HLA)	Report
(1) (productivity,tool)	100.00
(2) (productivity,technology)	99.62
(3) (productivity,technologies)	99.24
(4) (productivity,snapback)	98.86
(5) (productivity,retailer)	98.48
(6) (productivity,pandemic)	98.11
(7) (productivity,overboard)	97.73
(8) (productivity,models)	97.35
(9) (company,united_states)	96.97
(10) (company,workers,united_states)	95.83
(11) (technology,company,united_states)	95.45
(12) (technology,company,workers,united_states)	93.56
(13) (technology,questions,united_states)	92.42
(14) (technology,workers,united_states)	91.29
(15) (company,workers,retailer)	90.53
(16) (technology,company,workers,retailer)	90.15
(17) (technology,questions,retailer)	89.02
(18) (technology,workers,retailer)	88.26
(19) (company,workers,less-experienced)	87.50
(20) (technology,company,workers,less-experienced)	87.12
(21) (technology,workers,less-experienced)	85.98
(22) (company,workers,generative)	85.23
(23) (technology,company,workers,generative)	84.85
(24) (company,workers,employee)	83.71
(25) (technology,company,workers,employee)	83.33
(26) (company,workers,co-founded)	82.20
(27) (technology,company,workers,co-founded)	81.82
(28) (technology,ben,spokeswoman)	79.92
(29) (technology,company,ben,spokeswoman)	77.65
(30) (technology,company,freezers,spokeswoman)	74.62
(31) (technology,freezers,spokeswoman)	73.86
(32) (technology,ben,inventory,software)	72.73
(33) (technology,ben,software)	71.97
(34) (technology,company,ben,software)	70.08
(35) (technology,company,freezers,software)	67.05
(36) (technology,freezers,software)	65.91
(37) (technology,ben,restock)	65.53
(38) (technology,company,ben,restock)	64.02
(39) (technology,company,freezers,restock)	60.98
(40) (technology,freezers,restock)	59.47
(41) (technology,company,freezers,pints)	57.95
(42) (technology,freezers,pints)	56.06
(43) (technology,company,ben,inventory)	54.92
(44) (technology,company,freezers,inventory)	52.65
(45) (technology,freezers,inventory)	50.00
(46) (technology,company,ben,increase)	49.24
(47) (technology,company,freezers,increase)	46.97
(48) (technology,freezers,increase)	43.94
(49) (technology,ben,sporadically)	43.56
(50) (technology,company,ben,sporadically)	40.91
(51) (technology,company,sporadically)	40.15
(52) (technology,company,weeds)	39.02
(53) (company,targets)	38.64
(54) (company,weeds,targets)	36.74
(55) (technology,company,targets)	35.98
(56) (technology,financial,occupations)	35.23
(57) (technology,workers,occupations)	34.47
(58) (technology,financial,joseph_davis)	34.09
(59) (technology,workers,joseph_davis)	33.33
(60) (technology,financial,global)	32.95
(61) (technology,workers,global)	32.20
(62) (technology,questions,workers)	31.44
(63) (technology,questions,summarize)	31.06
(64) (technology,questions,marketing)	30.68
(65) (technology,questions,generative)	29.55
(66) (technology,questions,employees)	28.41
(67) (technology,herbicide,costs)	27.27
(68) (technology,herbicide,company)	26.89
(69) (technology,financial,workers)	26.14
(70) (technology,financial,productivity)	25.76
(71) (technology,financial,influence)	25.00
(72) (technology,financial,economist)	24.62
(73) (technology,ben,inventory,menu)	23.86
(74) (technology,ben,menu)	22.35
(75) (technology,ben,inventory,spokeswoman)	20.83
(76) (technology,ben,inventory,restock)	20.08
(77) (technology,ben,inventory,digital)	18.94
(78) (technology,ben,inventory,day)	18.56
(79) (technology,ben,inventory,catherine_reynolds)	18.18
(80) (company,pints,increased)	17.80
(81) (company,weeds,increased)	16.67
(82) (company,pints,in-demand)	16.29
(83) (company,pints,grocery)	15.53
(84) (company,pints,freezers)	14.39
(85) (company,pints,chunky_monkey)	12.12
(86) (company,pints,cherry_garcia)	11.36
(87) (company,equipment,targets)	9.85
(88) (company,equipment,weeds,targets)	7.95
(89) (company,equipment,weeds,farm)	7.20
(90) (company,equipment,farm)	6.06
(91) (company,ben)	4.55
(92) (company,weeds,pints)	1.89
(93) (company,weeds,in-demand)	1.14
(94) (company,weeds,herbicide)	0.38

Supporting narratives:

Please refer to knowledge diagram for a complete set of supporting narratives.

WIP - Back to HLA

corporate work force last year.. . The retailer has been clear that the tool is meant to boost productivity. In an interview last year, Donna Morris, Walmart's chief people officer, said one of the goals was to eliminate some mundane work so employees could focus on tasks that have more impact ...
High Level Abstractions:

(productivity,tool)
(productivity,retailer)

WIP - Back to HLA

The question is whether the technology will actually make companies more efficient.. . Rapid productivity improvement is the dream for both companies and economic policymakers ...
High Level Abstractions:

(productivity,technology)

WIP - Back to HLA

Gordon has argued that new technologies in recent years, while important, have probably not been transformative enough to give a lasting lift to productivity growth. ...
High Level Abstractions:

(productivity,technologies)

WIP - Back to HLA

"We're not seeing it in the data yet," he said, explaining that he thinks that a recent pickup in productivity has been more of a snapback from a steep drop-off during the pandemic. ...
High Level Abstractions:

(productivity,snapback)
(productivity,pandemic)

WIP - Back to HLA

"The enthusiasm about large language models and ChatGPT has gone a bit overboard," he said in an interview. ...
High Level Abstractions:

(productivity,overboard)

WIP - Back to HLA

Gordon has argued that new technologies in recent years, while important, have probably not been transformative enough to give a lasting lift to productivity growth.. . "The enthusiasm about large language models and ChatGPT has gone a bit overboard," he said in an interview. ...
High Level Abstractions:

(productivity,models)

WIP - Back to HLA

At Walmart, the largest retailer in the United States with 1.6 million workers, the company's employee app has a section called "My Assistant," which is backed by generative A.I ...
High Level Abstractions:

(technology,workers,united_states)
(company,workers,united_states)
(technology,company,workers,retailer)
(company,united_states)
(technology,questions,retailer)
(technology,company,workers,united_states)
(technology,questions,workers)
(technology,questions,united_states)
(company,workers,employee)
(technology,workers,retailer)
(technology,company,workers,employee)
(company,workers,retailer)
(technology,company,united_states)
Inferred entity relationships (13)
(company,employee,workers) [inferred]
(company,united_states) [inferred]
(technology,united_states,workers) [inferred]
(company,technology,weeds) [inferred]
(company,technology,united_states) [inferred]
(questions,technology,united_states) [inferred]
(questions,technology,workers) [inferred]
(retailer,technology,workers) [inferred]
(company,employee,technology,workers) [inferred]
(company,united_states,workers) [inferred]
(company,technology,united_states,workers) [inferred]
(company,retailer,workers) [inferred]
(company,retailer,technology,workers) [inferred]

WIP - Back to HLA

He ran an experiment with it at a large call center, where it especially helped less-experienced workers, and has co-founded a company meant to teach firms how to leverage the technology ...
High Level Abstractions:

(technology,company,workers,less-experienced)
(technology,workers,less-experienced)
(company,workers,less-experienced)
Inferred entity relationships (3)
(company,less-experienced,workers) [inferred]
(less-experienced,technology,workers) [inferred]
(company,less-experienced,technology,workers) [inferred]

WIP - Back to HLA

At Walmart, the largest retailer in the United States with 1.6 million workers, the company's employee app has a section called "My Assistant," which is backed by generative A.I. ...
High Level Abstractions:

(company,workers,generative)
(technology,company,workers,generative)
Inferred entity relationships (2)
(company,generative,technology,workers) [inferred]
(company,generative,workers) [inferred]

WIP - Back to HLA

He ran an experiment with it at a large call center, where it especially helped less-experienced workers, and has co-founded a company meant to teach firms how to leverage the technology. ...
High Level Abstractions:

(technology,company,workers,co-founded)
(company,workers,co-founded)
Inferred entity relationships (5)
(co-founded,company,technology,workers) [inferred]
(company,technology,weeds) [inferred]
(company,technology,united_states) [inferred]
(co-founded,company,workers) [inferred]
(company,technology,united_states,workers) [inferred]

WIP - Back to HLA

"The software identifies what is about to run out and also helps plan the most efficient routes for trucks that can restock the inventory," Catherine Reynolds, a spokeswoman for Unilever, the parent of Ben & Jerry's, said in a statement. ...
High Level Abstractions:

(technology,company,ben,inventory)
(technology,company,ben,software)
(technology,ben,spokeswoman)
(technology,ben,software)
(technology,company,freezers,software)
(technology,freezers,spokeswoman)
(technology,company,ben,restock)
(technology,company,freezers,restock)
(technology,freezers,restock)
(technology,ben,restock)
(technology,company,ben,spokeswoman)
(technology,freezers,software)
(technology,company,freezers,inventory)
(technology,company,freezers,spokeswoman)
(technology,freezers,inventory)
Inferred entity relationships (18)
(ben,company,software,technology) [inferred]
(freezers,spokeswoman,technology) [inferred]
(company,freezers,pints,technology) [inferred]
(company,freezers,restock,technology) [inferred]
(freezers,software,technology) [inferred]
(ben,company,inventory,technology) [inferred]
(freezers,restock,technology) [inferred]
(ben,company,spokeswoman,technology) [inferred]
(ben,company) [inferred]
(company,freezers,inventory,technology) [inferred]
(ben,company,restock,technology) [inferred]
(company,freezers,software,technology) [inferred]
(company,freezers,pints) [inferred]
(company,freezers,spokeswoman,technology) [inferred]
(ben,company,increase,technology) [inferred]
(company,freezers,increase,technology) [inferred]
(ben,company,sporadically,technology) [inferred]
(freezers,inventory,technology) [inferred]

WIP - Back to HLA

"The software identifies what is about to run out and also helps plan the most efficient routes for trucks that can restock the inventory," Catherine Reynolds, a spokeswoman for Unilever, the parent of Ben & Jerry's, said in a statement ...
High Level Abstractions:

(technology,ben,inventory,spokeswoman)
(technology,ben,inventory,restock)
(technology,ben,inventory,software)
(technology,ben,inventory,catherine_reynolds)
Inferred entity relationships (4)
(ben,inventory,menu,technology) [inferred]
(ben,inventory,restock,technology) [inferred]
(ben,inventory,software,technology) [inferred]
(ben,inventory,spokeswoman,technology) [inferred]

WIP - Back to HLA

into the freezers at grocery stores to help alert the company when a location was running low on pints of Cherry Garcia or Chunky Monkey. ...
High Level Abstractions:

(technology,company,freezers,pints)
(company,pints,chunky_monkey)
(company,pints,cherry_garcia)
(technology,freezers,pints)
Inferred entity relationships (8)
(company,freezers,pints) [inferred]
(company,freezers,restock,technology) [inferred]
(freezers,pints,technology) [inferred]
(company,freezers,spokeswoman,technology) [inferred]
(company,pints,weeds) [inferred]
(company,freezers,increase,technology) [inferred]
(company,freezers,inventory,technology) [inferred]
(company,freezers,software,technology) [inferred]

WIP - Back to HLA

technology is installed in 8,000 freezers, and the company said it planned to significantly increase that number this year. ...
High Level Abstractions:

(technology,company,freezers,increase)
(technology,company,ben,increase)
(technology,freezers,increase)
Inferred entity relationships (13)
(company,freezers,pints) [inferred]
(ben,company,software,technology) [inferred]
(company,freezers,pints,technology) [inferred]
(company,freezers,restock,technology) [inferred]
(company,freezers,spokeswoman,technology) [inferred]
(ben,company,inventory,technology) [inferred]
(ben,company,spokeswoman,technology) [inferred]
(ben,company) [inferred]
(freezers,increase,technology) [inferred]
(ben,company,sporadically,technology) [inferred]
(company,freezers,inventory,technology) [inferred]
(ben,company,restock,technology) [inferred]
(company,freezers,software,technology) [inferred]

WIP - Back to HLA

The camera sporadically captures an image of the freezer shelves and the technology assesses the quantity that's left, sending alerts to Ben & Jerry's parent company and its distributors ...
High Level Abstractions:

(technology,ben,sporadically)
(technology,company,ben,sporadically)
(technology,company,sporadically)
Inferred entity relationships (7)
(ben,company,spokeswoman,technology) [inferred]
(ben,company) [inferred]
(ben,company,software,technology) [inferred]
(company,sporadically,technology) [inferred]
(ben,company,increase,technology) [inferred]
(ben,company,inventory,technology) [inferred]
(ben,company,restock,technology) [inferred]

WIP - Back to HLA

The equipment recognizes and targets weeds specifically, allowing for more precise use of chemicals. The technology was first introduced in 2022, and the company estimates that it covered 100 million acres and saved 8 million gallons of herbicide last year ...
High Level Abstractions:

(company,weeds,targets)
(technology,company,weeds)
(company,targets)
(technology,company,targets)
Inferred entity relationships (5)
(company,technology,united_states) [inferred]
(company,targets,technology) [inferred]
(company,targets) [inferred]
(company,technology,united_states,workers) [inferred]
(company,targets,weeds) [inferred]

WIP - Back to HLA

He said the technology could save workers meaningful time - perhaps 20 percent - in about 80 percent of occupations. ...
High Level Abstractions:

(technology,financial,occupations)
(technology,workers,occupations)
Inferred entity relationships (1)
(occupations,technology,workers) [inferred]

WIP - Back to HLA

economy in the second half of the 2020s, said Joseph Davis, the financial firm's global chief economist. He said the technology could save workers meaningful time - perhaps 20 percent - in about 80 percent of occupations ...
High Level Abstractions:

(technology,financial,joseph_davis)
(technology,financial,workers)
(technology,workers,global)
(technology,workers,joseph_davis)
(technology,financial,economist)
(technology,financial,global)
Inferred entity relationships (3)
(global,technology,workers) [inferred]
(joseph_davis,technology,workers) [inferred]
(financial,technology,workers) [inferred]

WIP - Back to HLA

The feature uses the technology to quickly answer questions like, "Do I have dental coverage.", summarize meeting notes and help write job descriptions. ...
High Level Abstractions:

(technology,questions,summarize)

WIP - Back to HLA

for everything from writing marketing emails to helping set prices to answering employees'human resources and legal questions. ...
High Level Abstractions:

(technology,questions,marketing)
Inferred entity relationships (2)
(questions,technology,united_states) [inferred]
(questions,technology,workers) [inferred]

WIP - Back to HLA

At Walmart, the largest retailer in the United States with 1.6 million workers, the company's employee app has a section called "My Assistant," which is backed by generative A.I. The feature uses the technology to quickly answer questions like, "Do I have dental coverage.", summarize meeting notes and help write job descriptions ...
High Level Abstractions:

(technology,questions,generative)
Inferred entity relationships (2)
(questions,technology,united_states) [inferred]
(questions,technology,workers) [inferred]

WIP - Back to HLA

for everything from writing marketing emails to helping set prices to answering employees'human resources and legal questions.. . Here are a few areas where companies say that the latest A.I ...
High Level Abstractions:

(technology,questions,employees)
Inferred entity relationships (2)
(questions,technology,united_states) [inferred]
(questions,technology,workers) [inferred]

WIP - Back to HLA

The technology can allow "customers to reduce their herbicide use, lower their costs and minimize impact on their crops and land," John C. ...
High Level Abstractions:

(technology,herbicide,costs)

WIP - Back to HLA

The technology was first introduced in 2022, and the company estimates that it covered 100 million acres and saved 8 million gallons of herbicide last year ...
High Level Abstractions:

(technology,herbicide,company)
Inferred entity relationships (1)
(company,herbicide,weeds) [inferred]

WIP - Back to HLA

technology is being used in ways that could influence productivity, pulled from interviews, earnings calls and financial filings ...
High Level Abstractions:

(technology,financial,productivity)
(technology,financial,influence)
Inferred entity relationships (1)
(productivity,technology) [inferred]

WIP - Back to HLA

to identify slower times of the day and discount the prices of menu items on their digital ordering kiosks.. . The technology could also help with inventory management ...
High Level Abstractions:

(technology,ben,inventory,menu)
(technology,ben,menu)
(technology,ben,inventory,digital)
Inferred entity relationships (3)
(ben,inventory,restock,technology) [inferred]
(ben,inventory,software,technology) [inferred]
(ben,inventory,spokeswoman,technology) [inferred]

WIP - Back to HLA

to identify slower times of the day and discount the prices of menu items on their digital ordering kiosks. ...
High Level Abstractions:

(technology,ben,inventory,day)

WIP - Back to HLA

technology increased sales by 13 percent because they were replenished with fresh pints of ice cream, particularly the most in-demand flavors, Ms ...
High Level Abstractions:

(company,pints,increased)
(company,weeds,increased)
Inferred entity relationships (2)
(company,increased,pints) [inferred]
(company,increased,weeds) [inferred]

WIP - Back to HLA

technology increased sales by 13 percent because they were replenished with fresh pints of ice cream, particularly the most in-demand flavors, Ms. Reynolds said. ...
High Level Abstractions:

(company,pints,in-demand)
(company,weeds,pints)
Inferred entity relationships (1)
(company,in-demand,weeds) [inferred]

WIP - Back to HLA

into the freezers at grocery stores to help alert the company when a location was running low on pints of Cherry Garcia or Chunky Monkey ...
High Level Abstractions:

(company,pints,freezers)
(company,pints,grocery)
Inferred entity relationships (7)
(company,freezers,increase,technology) [inferred]
(company,freezers,pints,technology) [inferred]
(company,freezers,restock,technology) [inferred]
(freezers,pints,technology) [inferred]
(company,freezers,spokeswoman,technology) [inferred]
(company,freezers,inventory,technology) [inferred]
(company,freezers,software,technology) [inferred]

WIP - Back to HLA

The equipment recognizes and targets weeds specifically, allowing for more precise use of chemicals. ...
High Level Abstractions:

(company,equipment,targets)
(company,equipment,weeds,targets)
Inferred entity relationships (4)
(company,equipment,targets,weeds) [inferred]
(company,equipment,farm,weeds) [inferred]
(company,equipment,farm) [inferred]
(company,equipment,targets) [inferred]

WIP - Back to HLA

Reynolds said.. . A.i. is getting into the weeds.. Deere and Company, the maker of farm equipment, has been using A.I. ...
High Level Abstractions:

(company,equipment,weeds,farm)
Inferred entity relationships (3)
(company,equipment,targets,weeds) [inferred]
(company,equipment,farm) [inferred]
(company,equipment,targets) [inferred]

WIP - Back to HLA

Reynolds said.. . A.i. is getting into the weeds.. Deere and Company, the maker of farm equipment, has been using A.I. alongside cameras to improve herbicide sprayers ...
High Level Abstractions:

(company,equipment,farm)
Inferred entity relationships (3)
(company,equipment,targets,weeds) [inferred]
(company,equipment,farm,weeds) [inferred]
(company,equipment,targets) [inferred]

WIP - Back to HLA

The camera sporadically captures an image of the freezer shelves and the technology assesses the quantity that's left, sending alerts to Ben & Jerry's parent company and its distributors.. . "The software identifies what is about to run out and also helps plan the most efficient routes for trucks that can restock the inventory," Catherine Reynolds, a spokeswoman for Unilever, the parent of Ben & Jerry's, said in a statement ...
High Level Abstractions:

(company,ben)
Inferred entity relationships (6)
(ben,company,spokeswoman,technology) [inferred]
(ben,company,software,technology) [inferred]
(ben,company,sporadically,technology) [inferred]
(ben,company,increase,technology) [inferred]
(ben,company,inventory,technology) [inferred]
(ben,company,restock,technology) [inferred]

WIP - Back to HLA

technology increased sales by 13 percent because they were replenished with fresh pints of ice cream, particularly the most in-demand flavors, Ms. Reynolds said.. . A.i. is getting into the weeds.. Deere and Company, the maker of farm equipment, has been using A.I ...
High Level Abstractions:

(company,weeds,in-demand)
Inferred entity relationships (1)
(company,in-demand,pints) [inferred]

WIP - Back to HLA

The technology was first introduced in 2022, and the company estimates that it covered 100 million acres and saved 8 million gallons of herbicide last year. ...
High Level Abstractions:

(company,weeds,herbicide)
Inferred entity relationships (1)
(company,herbicide,technology) [inferred]

Semantics Relevance

Will A.I. Boost Productivity? Companies Sure Hope So.