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Your search for "Prasad Akella blogs" returned 39 results:
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New topologies, evolved solution-market fit will define manufacturing AI in 2023
Prasad Akella
Traditionally, I’ve taken a look at the previous year’s operations, market observations, technology movements and learnings with an...
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Modernizing the genba to demystify the factory floor
Prasad Akella
A significant amount of time is devoted to analyzing metrics in manufacturing. These data sets and insights drive...
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The brilliance of single-piece flow: The allegory of the cakes
Prasad Akella
This past weekend, I had two sets of nephews visit us. Teenagers, I know from personal experience, are...
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Getting workers to collaborate in problem solving the right way vs the fast way
Prasad Akella
For a large manufacturer, everything is time-sensitive — production deadlines, project deadlines, ship dates, resolution dates, forecasts and...
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Tribal Knowledge is the Enemy of the Growing Organization
Prasad Akella
As an organization grows it hits a few natural pain points. Growth is a good thing, but oftentimes...
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Ironically, standardization actually drives creativity
Prasad Akella
I’ve worked in many professional settings and have worn many hats, from sales to the most technical of...
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Problem definition on the path to lean maturity (webinar recap part 3)
Prasad Akella
Recently, we hosted a webinar on operationalizing data for Industry 4.0 with Jim Little, vice president with Simpler...
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Here's how to avoid DRIP environments with leadership buy-in (webinar recap part 2)
Prasad Akella
Recently, we hosted a webinar on operationalizing data for Industry 4.0 with Jim Little, vice president with Simpler...
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Challenges in using data in the manufacturing environment (webinar recap part 1)
Prasad Akella
Last month, I hosted a webinar with Jim Little, vice president with Simpler Consulting, an IBM company; and...
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Will 2022 herald the end of pilot purgatory for AI and IoT?
Prasad Akella
2022 is in sight, and AI is finally hitting the mainstream. (That it has been almost 35 years...
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The BIG gap in digital twin technology: Assembly operations
Prasad Akella
Digital twins combine all the best elements of a simulation, 3D CAD model, bill of materials and data...
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Lean and data: Two journeys on the path to lean leadership
Prasad Akella
It’s not easy to be a lean leader. To be a lean leader, companies can’t stop at lean;...
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Assembly's future: Reducing the cost of quality even as we improve quality
Prasad Akella
Defect rate benchmarks have been evolving in assembly operations for quite some time. Forty years ago, most factories...
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Introducing the “right to affordable repair”
Prasad Akella
Right to repair is the idea that customers should be able to repair any purchased hardware from any...
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Humans or automation: For now, it’s both
Prasad Akella
Since the first robot was installed on an assembly line in 1962, manufacturers have been debating whether to...
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Why data drives the next industrial revolution and how it impacts the design process
Prasad Akella
Each industrial revolution — from Industry 1.0 to Industry 4.0 — was driven by the creation and adoption...
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Thinking long: Prasad Akella on Drishti’s new CEO, Gary Jackson
Prasad Akella
You may have seen Drishti’s big news: I have transitioned to Chairman of the Drishti Board and Chief...
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Drishti’s manufacturing leadership — and influence — recognized
Prasad Akella
Earlier this week, the National Association of Manufacturers shared its list of 2021 Manufacturing Leadership Award winners. We...
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Part 3: The growing imperative for practical AI
Prasad Akella
In the last of my three-part series on looking ahead to 2021 (and leaving 2020 firmly in the...
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Part 2: Changes to manufacturing in the U.S.
Prasad Akella
I recently reflected on what 2020 meant for Drishti, and subsequently added the first of what will be...
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Part 1: Regionalization and manufacturing neighborhoods
Prasad Akella
I recently reflected on what 2020 meant for Drishti. In this three-part miniseries, I’m examining trends and shifts in...
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Goodbye, 2020: A series of year-end predictions
Prasad Akella
One of the most bizarre years of my lifetime is finally coming to a close. At Drishti, we...
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Process investments: As important as product, but often ignored
Prasad Akella
In assembly, codifying the process through standardized work is paramount to high quality and throughput. That’s why standardized...
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Drishti's Series B ushers in a fourth manufacturing era: AI-powered production (and people)
Prasad Akella
This morning, we announced news that we've closed a $25M Series B funding round, in the midst of...
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Drishti guides automakers in uncertain times — including DENSO
Prasad Akella
After many decades of incremental improvements, the automotive industry is experiencing a sea change. Driving this change are...
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Monozukuri and takumi: Scaling the craftsman mentality in a 21st century factory
Prasad Akella
Craftsmanship. By definition, it means portraying skill at something – carving wood, sculpting clay, welding metal. But craftsmanship...
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The World Economic Forum recognizes Drishti’s “human first” focus: "When 1+1 = 3"
Prasad Akella
This week, the World Economic Forum (WEF) announced its slate of 2019 Technology Pioneers, a group of 56...
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What being a Gartner “Cool Vendor” means to me
Prasad Akella
Drishti was recently named a May 2019 “Cool Vendor” in Manufacturing Operations by Gartner. We believe it’s a...
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The secret to effective AI deployments: The real world
Prasad Akella
Artificial intelligence (AI) isn’t a single technology; it’s a term that covers a field of computer science in...
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How AI and data amp up the traditional genba
Prasad Akella
For decades, lean manufacturers have embraced the genba walk as a tool to understand firsthand what’s happening on...
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New Research: The State of Human Factory Analytics
Prasad Akella
“I believe there is significant – as yet untapped – opportunity to drive high volume factory performance to...
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Augmenting tasks performed by humans is no easy feat
Prasad Akella
In the mid-1990s, I led the industry/academia team at General Motors that built the world’s first collaborative robots....
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Drishti Milestone: Recognized in Gartner Hype Cycle
Prasad Akella
One of my former coworkers from my factory days has become a golf fanatic. He watches, plays and...
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Drishti recognized as a “Hot Vendor” by Aragon Research
Prasad Akella
On July 25, 2018, Aragon Research published Hot Vendors in Digital Business Platforms, 2018. As the name implies,...
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Introducing Drishti: Making factory workers more competitive in an increasingly automated world
Prasad Akella
Manufacturing has two big secrets. The first big secret is that, despite years of advances in robotics and...
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The 100-year-old manufacturing problem
Prasad Akella
The biggest problem facing modern manufacturing is that humans are effectively invisible to analytics. This problem is all...
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"Differentiation in manufacturing is all time to market." The Drishti Interview: Anik Bose, BGV
Prasad Akella
Anik Bose, General Partner at Benhamou Global Ventures, was the first investor to hear Drishti's story—and, I'm flattered...
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製造業が抱える100年越しの課題
Prasad Akella
現代的の製造業が直面している最大の課題は、人間の作業の可視化が出来ないことである。 何十年ものロボティクスと自動化の進歩を経ても、製造タスクの90％がいまだに人間によって実行されていることを認識すると、この問題の重要性を認識できる。ゴールドマン・サックスの調査では、製造業の全世界の雇用は3.4億人と言われている。 Industrial IoTの時代では、対応する機器からのデータと人間の作業からのデータを比較した際には、人間の作業分のデータは非常に小さく、機器から収集されるデータと比較するとほぼ皆無に等しい。 このデータの不均衡により、重大な副次的効果を２つ生じさせる。 製造業者は、容易に定量化できる（ロボット、自動化、IIoT）製造タスクの10％に過剰投資、もしくは近視眼的なコストの最適化（オフショアリング、解雇）を行う。 その結果、工場労働者は自分の将来を恐れ、経済的・文化的・政 治的な心配により、新しい技術を嫌う。 これが厳しい現実。 私はDrishtiが別の道を提供していると信じている。 しかし、未来を描写する前に、まず大量生産時代の幕開けの100年以上前に戻る必要がある。 Frederick Taylorの不滅の時間測定 1911年にFrederick Winslow Taylorは「科学的管理の原理」を発表した。産業史を学んだ誰もが知っているように、この論文は現代製造業への影響力が強く、唯一トヨタの生産方式がこれを超える影響力があると言われている。 ...
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Drishtiの紹介: 自動化が進んだ世界で工場労働者の競争力を高める
Prasad Akella
製造業には２つの重大な秘密がある。 まず第一の秘密は、ロボティクスと自動化の長年の進歩に関わらず、大部分の工場での仕事はまだ人間によって実行されていることである。 スマートフォンがわかり易い例である。ご存知の通り、携帯電話を持っている約50億もの人とのデジタルな接点である。同時に、驚くほど大きな数の人々との物理的な接点も持っている。ただ、中国の工場でそのスマートフォンを作ってくれた約100人近くの人々がいることはあまり知られていない。 ボストン・コンサルティング・グループによると、工場作業のわずか10％程度しかロボットが行っていないという。これはスマートフォンの組み立ても例外ではなく、メーカーで多少の違いがあるにせよ、人間対ロボットの比率は少なくとも50対1である。 世界の製造業の市場規模は12兆ドルに登ると言われるが、その90％を占めているのは人間であるのにも関わらず、活動を測る技術は、Henry Fordの時代から実質的には変わっていない。これらの技術は手動で時間を要するものがほとんどで、ビジネスの拡大時に成り立たないことが多い。 そして、製造業のもうひとつの大きな秘密は、100年もの間、人間行う作業は科学的な分析が行われて来なかった点である。 測定することが出来なければ、それを改善することはできない。製造業が人間の生産性が限界に達したと思うなら、オフシェアや自動化に目を向けるのは不思議ではない。 そして製造業の３つめの大きな秘密であるDrishtiを本日はご紹介したい。 Industry 4.0の最大の盲点を明らかにする 私は過去2年の間、黙々と新しい会社のベースを築いてきた。当初の仮説から始まり、SRI Internationalの客員起業制度を用いて具現化を試み、会社の共同設立者のKrishnendu ChaudhuryとAshish Guptaと合流し、Drishtiを設立。その後も順調に成長し、素晴らしいチーム、顧客と投資家を得るところまで来た。 本日、既存投資家の Andreessen Horowitz と Benhamou Global...
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